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1
Sebastian Vindro Jude, P., C. Kathirvel, S. VenkateshKumar, and R. MohanKumar. "Multi-Tasking Robot using Microcontroller for Agriculture Application." Journal of Physics: Conference Series 2325, no. 1 (August 1, 2022): 012029. http://dx.doi.org/10.1088/1742-6596/2325/1/012029.
Повний текст джерелаАнотація:
Abstract With innovations in every field of our lives, agricultural field also gets impacted by technological innovations on a huge scale. Agriculture is the backbone of India. In order to support this, a multi-functioning robot is required. Smart farming aids in boosting the quality and quantity of the yields. Currently, smart agriculture is implemented to save the manpower and time of work with the help of multitasking robots. This is the advanced booming technology in the agriculture sector. However, certain considerations and approaches should be taken when designing these types of robots, taking into account the agricultural setting in which they will be used. The main aim of this research is to provide smart farming at low cost without compromising on the efficiency of the processes involved. This paper discusses the design procedure and development of an independent multitasking robot that could be applied for agricultural purpose like soil digging, sowing seeds, harvesting as well as irrigation. This robot works on solar energy and will also help in conserving non-renewable energy resources on a large scale thereby contributing towards the sustainability of our planet. With help of technologies, this idea kindles the knowledge in developing more intelligent and smart robots for the agriculture activities.
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Haseeb, Khalid, Ikram Ud Din, Ahmad Almogren, and Naveed Islam. "An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture." Sensors 20, no. 7 (April 7, 2020): 2081. http://dx.doi.org/10.3390/s20072081.
Повний текст джерелаАнотація:
Wireless sensor networks (WSNs) have demonstrated research and developmental interests in numerous fields, like communication, agriculture, industry, smart health, monitoring, and surveillance. In the area of agriculture production, IoT-based WSN has been used to observe the yields condition and automate agriculture precision using various sensors. These sensors are deployed in the agricultural environment to improve production yields through intelligent farming decisions and obtain information regarding crops, plants, temperature measurement, humidity, and irrigation systems. However, sensors have limited resources concerning processing, energy, transmitting, and memory capabilities that can negatively impact agriculture production. Besides efficiency, the protection and security of these IoT-based agricultural sensors are also important from malicious adversaries. In this article, we proposed an IoT-based WSN framework as an application to smart agriculture comprising different design levels. Firstly, agricultural sensors capture relevant data and determine a set of cluster heads based on multi-criteria decision function. Additionally, the strength of the signals on the transmission links is measured while using signal to noise ratio (SNR) to achieve consistent and efficient data transmissions. Secondly, security is provided for data transmission from agricultural sensors towards base stations (BS) while using the recurrence of the linear congruential generator. The simulated results proved that the proposed framework significantly enhanced the communication performance as an average of 13.5% in the network throughput, 38.5% in the packets drop ratio, 13.5% in the network latency, 16% in the energy consumption, and 26% in the routing overheads for smart agriculture, as compared to other solutions.
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R Bhat, Anusha, Madhushree B N, Deekshitha M R, Naveen H S, and Jeevitha J V Reddy. "WIFI BASED SMART AGRICULTURE." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (August 12, 2022): 170–73. http://dx.doi.org/10.26562/ijirae.2022.v0908.03.
Повний текст джерелаАнотація:
Smart agriculture is an emerging concept, because IOT sensors are capable of providing information about agriculture fields and then act upon based on the user input. The goal of this paper is to create a Smart Agriculture System that takes advantage of cutting-edge technologies like Arduino, IoT, and Wireless Sensor Network. The goal of the article is to use developing technologies, such as the Internet of Things (IoT) and smart agriculture with automation. The ability to monitor environmental variables is a key aspect in increasing the production of efficient crops. The invention of a system that can monitor temperature, humidity, wetness, and even disease detection in tomato leaves is a characteristic of this research. TCP/IP is used in the development of the application for the farmer's Smartphone. The system uses a duplex communication link based on a cellular-Internet interface, allowing data inspection and irrigation scheduling to be configured using an android application. The device has the potential to be beneficial in water-scarce, geographically isolated places due to its energy independence and low cost.
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Suanpang, Pannee, Pattanaphong Pothipassa, Kittisak Jermsittiparsert, and Titiya Netwrong. "Integration of Kouprey-Inspired Optimization Algorithms with Smart Energy Nodes for Sustainable Energy Management of Agricultural Orchards." Energies 15, no. 8 (April 14, 2022): 2890. http://dx.doi.org/10.3390/en15082890.
Повний текст джерелаАнотація:
Energy expenditures are now the main cost for two businesses that generate huge incomes each year for Thailand, which are agribusiness and community tourism. As entrepreneurs have to share a portion of their income as energy utility bills each month. This is a factor which results in them getting a low net return. Recognizing the need for energy management for sustainable use in agriculture focusing on durian cultivation in Kantharalak district and community tourism in Sisaket province, this research used a newly developed optimization algorithm called Kouprey-inspired optimization (KIO) to assist energy management in smart agriculture to support community-based tourism. This was initiated with a smart energy node to reduce the energy and labor costs for volcanic durian planting and accommodation in community-based tourist attractions in Sisaket province. The results showed that the combination of the KIO algorithm and smart energy node allowed for efficient management of the volcanic durian orchards and the use of clean energy in combination with traditional electric power for volcanic durian cultivation and community-based tourism. As the research area in Sisaket province had eight hours of solar power per day, this was sufficient for smart agriculture and community-based tourism in the daytime and in the evening. Furthermore, this allowed operators in both the agricultural and tourism sectors to reduce the labor costs of the durian orchard business and community-based tourism by about 30%, and in the energy sector, the costs could be reduced by 50%. As a consequence, this prototype would lead to the expansion and trial in durian orchards in the Eastern Economic Corridor area, which is an important economic area producing durian for export of the country.
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Bouali, Et-Taibi, Mohamed Riduan Abid, El-Mahjoub Boufounas, Tareq Abu Hamed, and Driss Benhaddou. "Renewable Energy Integration Into Cloud & IoT-Based Smart Agriculture." IEEE Access 10 (2022): 1175–91. http://dx.doi.org/10.1109/access.2021.3138160.
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Srinivas, Anna, V. Radhika, P. Sammaiah, Jay Prakash Srivastava, P. Venkata Ramana Rao, and Sangaraboina Shailaja. "Agriculture Pump based on Smart Energy Harvesting on Solar System." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 042033. http://dx.doi.org/10.1088/1757-899x/981/4/042033.
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Phasinam, Khongdet, Thanwamas Kassanuk, and Mohammad Shabaz. "Applicability of Internet of Things in Smart Farming." Journal of Food Quality 2022 (February 2, 2022): 1–7. http://dx.doi.org/10.1155/2022/7692922.
Повний текст джерелаАнотація:
Agriculture is critical to human life. Agriculture provides a means of subsistence for a sizable portion of the world’s population. Additionally, it provides a large number of work opportunities for inhabitants. Many farmers prefer traditional farming approaches, which result in low yields. Agriculture and related industries are vital to the economy’s long-term growth and development. The primary issues in agricultural production include decision-making, crop selection, and supporting systems for crop yield enhancement. Agriculture forecasting is influenced by natural variables such as temperature, soil fertility, water volume, water quality, season, and crop prices. Growing advancements in agricultural automation have resulted in a flood of tools and apps for rapid knowledge acquisition. Mobile devices are rapidly being used by everyone, including farmers. This paper presents a framework for smart crop tracking and monitoring. Sensors, Internet of Things cameras, mobile applications, and big data analytics are all covered. The hardware consists of an Arduino Uno, a variety of sensors, and a Wi-Fi module. This strategy would result in the most effective use of energy and the smallest amount of agricultural waste possible.
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Годжаєва, Ельміра, та Орудж Пюстя Фархади. "РОЗВИТОК НАФТОВОГО СЕКТОРУ ЯК ОСНОВА ДЕРЖАВНОЇ ЕКОНОМІЧНОЇ ПОЛІТИКИ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 4 (15 січня 2023): 6–12. http://dx.doi.org/10.32620/cher.2022.4.01.
Повний текст джерелаАнотація:
The article considers large-scale quantitative and qualitative changes in the socio-economic life of Azerbaijan, the creation of comprehensive conditions for the development of entrepreneurship, the effective use of rich natural resources and the potential of the regions, the development of the non-oil sector, directions for increasing the competitiveness of local products. The purpose of the article is to highlight aspects of the development of the oil sector as the basis of state economic policy. Methods used in the research: survey, quantification, ranking, scoring, etc. The hypothesis of the study was that the need to strengthen the country's oil potential, modernize its infrastructure, create and develop an industrial sector capable of producing competitive export products in accordance with international standards is related to the requirements of both the country's internal model of economic development and modern development, trends of the world economy. Presenting main material. The article raises the issue of creating modern industrial sectors in the country and improving the infrastructural support of industry, high evaluation of the trend of sustainable development of the oil sector of Azerbaijan, including the oil industry by international rating agencies. The originality and practical significance of the research lies in the forecasting and modeling of agricultural activity, "Smart Agriculture", "Green Future" and "Green Energy", technologies for the development of these areas, in particular, the protection of geothermal energy sources, the environment, the application of numerous initiatives to ensure a safe, healthy and green future, smart agriculture, digital technologies, improving the living conditions of the rural population. Conclusions. Technologies for the development of these directions "Smart Agriculture", "Green Future" and "Green Energy", especially the use of geothermal energy sources, environmental protection, numerous initiatives that ensure a safe, healthy and green future, smart agriculture, digital technologies, are defined ways to ease the living conditions of the rural population and increase their standard of living.
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Sharma, Prince, Shailendra Shukla, and Amol Vasudeva. "Trust-Based Opportunistic Network Offloaders for Smart Agriculture." International Journal of Agricultural and Environmental Information Systems 12, no. 1 (January 2021): 37–54. http://dx.doi.org/10.4018/ijaeis.20210101.oa3.
Повний текст джерелаАнотація:
With the enormous use of internet of things-based devices for enabling smart agriculture, there is a significant need for efficient systems in order to improve agricultural practices. It can help efficiently to develop optimal web-based information system using the data of field monitoring. But, the collection of such data in the presence of connectivity disruptions poses new challenges for users. This paper targets to determine such offloaders with less infrastructural costs to enable smart agriculture based on network heuristics. Although, few works contribute to the trust established, most of them are applicable only for static networks. This paper explores a trust-based solution for mobile data offloading. This paper identifies the need and impact of trust determination using the trust model algorithm. The proposed algorithm outperforms the hybrid trust-based mobility aware clustering algorithm for trust-based offloaders with up to 13% better offloading potential saving a minimum of 8 pJ energy per user with just 25% contributors with 50% lesser time delay.
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Marcu, Ioana, George Suciu, Cristina Bălăceanu, Alexandru Vulpe, and Ana-Maria Drăgulinescu. "Arrowhead Technology for Digitalization and Automation Solution: Smart Cities and Smart Agriculture." Sensors 20, no. 5 (March 6, 2020): 1464. http://dx.doi.org/10.3390/s20051464.
Повний текст джерелаАнотація:
The Internet of Things (IoT) concept has met requirements for security and reliability in domains like automotive industry, food industry, as well as precision agriculture. Furthermore, System of Systems (SoS) expands the use of local clouds for the evolution of integration and communication technologies. SoS devices need to ensure Quality of Service (QoS) capabilities including service-oriented management and different QoS characteristics monitoring. Smart applications depend on information quality since they are driven by processes which require communication robustness and enough bandwidth. Interconnectivity and interoperability facilities among different smart devices can be achieved using Arrowhead Framework technology via its core systems and services. Arrowhead Framework is targeting smart IoT devices with wide applicability areas including smart building, smart energy, smart cities, smart agriculture, etc. The advantages of Arrowhead Framework can be underlined by parameters such as transmission speed, latency, security, etc. This paper presents a survey of Arrowhead Framework in IoT/SoS dedicated architectures for smart cities and smart agriculture developed around smart cities, aiming to outline its significant impact on the global performances. The advantages of Arrowhead Framework technology are emphasized by analysis of several smart cities use-cases and a novel architecture for a telemetry system that will enable the use of Arrowhead technology in smart agriculture area is introduced and detailed by authors.
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Ahmed, Ajaz. "Energy Smart Buildings: Potential for Conservation and Efficiency of Energy." Pakistan Development Review 53, no. 4II (December 1, 2014): 371–81. http://dx.doi.org/10.30541/v53i4iipp.371-381.
Повний текст джерелаАнотація:
Energy is the basic ingredient for economic growth and development [Lorde, et al. (2010)]. Presently demand for energy has significantly increased due to the overall expansion of economic and industrial activity in all important economic sectors e.g. industry, agriculture, and services. In addition to the expansion of economic activity and subsequent increase in energy demand at industrial level, population growth and increased consumption are also adding to the demand for energy [OECD (2011)]. In other words, modern economy has become highly dependent on energy resources. In order to meet the increased energy demand and ensure its sustainable supply, there is a need to have strong and robust plans with all options to consider at various levels.
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Junaid, Muhammad, Asadullah Shaikh, Mahmood Ul Hassan, Abdullah Alghamdi, Khairan Rajab, Mana Saleh Al Reshan, and Monagi Alkinani. "Smart Agriculture Cloud Using AI Based Techniques." Energies 14, no. 16 (August 19, 2021): 5129. http://dx.doi.org/10.3390/en14165129.
Повний текст джерелаАнотація:
This research proposes a generic smart cloud-based system in order to accommodate multiple scenarios where agriculture farms using Internet of Things (IoTs) need to be monitored remotely. The real-time and stored data are analyzed by specialists and farmers. The cloud acts as a central digital data store where information is collected from diverse sources in huge volumes and variety, such as audio, video, image, text, and digital maps. Artificial Intelligence (AI) based machine learning models such as Support Vector Machine (SVM), which is one of many classification types, are used to accurately classify the data. The classified data are assigned to the virtual machines where these data are processed and finally available to the end-users via underlying datacenters. This processed form of digital information is then used by the farmers to improve their farming skills and to update them as pre-disaster recovery for smart agri-food. Furthermore, it will provide general and specific information about international markets relating to their crops. This proposed system discovers the feasibility of the developed digital agri-farm using IoT-based cloud and provides solutions to problems. Overall, the approach works well and achieved performance efficiency in terms of execution time by 14%, throughput time by 5%, overhead time by 9%, and energy efficiency by 13.2% in the presence of competing smart farming baselines.
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Gancone, Agita, Jelena Pubule, and Dagnija Blumberga. "Valorization Methodology for Agriculture Sector Climate Change Mitigation Measures." Environmental and Climate Technologies 25, no. 1 (January 1, 2021): 944–54. http://dx.doi.org/10.2478/rtuect-2021-0071.
Повний текст джерелаАнотація:
Abstract Agriculture sector holds an essential role in Latvia’s economy and play significant role in keeping rural areas as a habitable environment (approximately 32 % of the population lives in rural areas). The agricultural sector is responsible for 28.5 % (2018) of total non-European Union Emissions Trading System (non – EU ETS) greenhouse gas (GHG) emissions in Latvia. The largest part of emissions is related to agricultural soils (59.3 %) and enteric fermentation 32.6 % (mainly dairy and beef cattle). The GHG emissions trend of recent years shows a gradual and steady increase in GHG emissions for example between 2005 and 2018 +12.5 % and during the period 2013–2018 emissions increased by 2.12 %. According to Latvia’s National Energy and Climate Plan 2021–2030 (NECP), total GHG emissions in the agricultural sector are expected to increase in the period from 2020 to 2030, mainly in the enteric fermentation and agricultural soil categories. To achieve determined targets for Latvia’s non-EU ETS sector in 2030 and be on track to reach climate neutrality in 2050, the agricultural sector has to contribute to GHG emission mitigation. For the agricultural sector, improved food security and climate smart activities will be necessary to achieve GHG emission reduction. Existing policies and measures (WEM) as well as those which are included in the NECP as additional measures (WAM) were used to assess more suitable measures to move on climate smart agriculture (CSA), that could help to decrease GHG emissions at the farm and state level as well as is expected to contribute towards achieving the commitments in the plan. To achieve the aim of the study, a combination of the Delphi method together with multi-criteria analysis (MCA) is utilized to find a set of top GHG mitigation measures in the future. Results show that, in the future, the measure support the development of innovative technologies and solutions to promote resource efficiency in agriculture is essential to move on climate smart agriculture.
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Mishachandar, B., and S. Vairamuthu. "Crop Yield Estimation Using the Internet of Things." Journal of Information & Knowledge Management 20, Supp01 (January 30, 2021): 2140006. http://dx.doi.org/10.1142/s0219649221400062.
Повний текст джерелаАнотація:
Internet of Things (IoT) in the current era is liable for its drastic transforming impact on human life, especially in the agricultural sector. IoT has transformed conventional agriculture into smart agriculture making agriculture more feasible in recent days. In this paper, it is proposed to develop a smart agricultural solution for using technologies like Arduino, IoT and Wireless Sensor Network. The developed system prototype uses IoT to perform three main functions namely, self/smart irrigation, crop productivity estimation and alerts cattle grazing. It also provides easy accessibility of the sensed information using an Android-based application and Bluetooth for short-range communication. The features of this paper include monitoring temperature, moisture level, detecting presence of inflammable gases and an emergency alert notification to alert any decline in crop health and cattle grazing directly to the farmer’s smartphone using Android app and Bluetooth. The desirable yielding conditions of a crop are programmed in the android app and compared with the sensed information. With the difference in levels the crop yield is estimated beforehand. A complete health monitoring system is developed using Arduino to perform a periodic check on the growth of the crop and its yielding conditions. Because of its feasibility, energy efficiency and cost-effectiveness, the system can be used in water-deficient agricultural lands with less human intervention.
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Smagulova, Sholpan, Aigerim Yermukhanbetova, Galiya Akimbekova, Saira Yessimzhanova, Marat Karatayev, Murat Nurgabylov, and Saltanat Zhakupova. "Prospects for Digitalization of Energy and Agro-Industrial Complex of Kazakhstan." International Journal of Energy Economics and Policy 12, no. 2 (March 20, 2022): 198–209. http://dx.doi.org/10.32479/ijeep.12859.
Повний текст джерелаАнотація:
The goal is to conduct modeling and analyze the management efficiency of the energy industry and the agro-industrial complex based on the introduction of digitalization to stimulate economic growth in Kazakhstan. When writing the work, the following research methods were used - bibliometric, statistical, factorial, grouping and generalization, regression, comparative. Results - an economic assessment of the development of the electric power industry and the agro-industrial complex was carried out. It is noted that the economy of Kazakhstan is quite energy-intensive and costly. It is shown that the increasing level of agricultural production exceeds the demand for electricity consumption. The serious deterioration of electrical equipment and agricultural machinery has been identified, which is a barrier to the promotion of digital technologies. The stimulation of the growth of electricity generation from renewable energy sources based on the use of innovative and digital technologies is analyzed. The modeling of the development of the agro-industrial complex is carried out on the basis of the use of information, communication and digital technologies of smart farms on the example of the Almaty region. Presented and summarized measures for the implementation of innovative projects in digital energy and smart agriculture. The problems and recommendations are given for accelerating the implementation of digitalization in the energy sector and the agro-industrial complex. The role of digital and electronic technologies in agriculture and the energy complex in promoting the economic growth of Kazakhstan has been substantiated.
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Wang, Can, Yu Bo, and Chunming Xu. "Attribute Reduction Algorithm on Concept Lattice and Application in Smart City Energy Consumption Analysis." Wireless Communications and Mobile Computing 2022 (May 23, 2022): 1–12. http://dx.doi.org/10.1155/2022/8961683.
Повний текст джерелаАнотація:
With the economic development in recent years, smart cities have also risen. Smart city is based on the next generation of innovation in the knowledge society, and the use of new generation information technology in all areas of the city is conducive to the improvement of the quality of urbanization and the quality of citizens’ lives. This article aims to study the significance of the reduction algorithm in the energy consumption analysis of smart cities. This article puts forward the problem of how to solve the problem of huge energy consumption in smart cities. In smart cities, the related objects that generate energy consumption mainly include industry, agriculture, and transportation construction. People’s lives are ubiquitous in the generation of energy consumption. This paper analyzes the energy consumption of smart cities through the reduction algorithm and puts forward a plan on how to reduce the energy consumption of smart cities, which is meaningful for the rational use of resources and reducing the cost of smart cities.
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Ghobadpour, Amin, German Monsalve, Alben Cardenas, and Hossein Mousazadeh. "Off-Road Electric Vehicles and Autonomous Robots in Agricultural Sector: Trends, Challenges, and Opportunities." Vehicles 4, no. 3 (August 15, 2022): 843–64. http://dx.doi.org/10.3390/vehicles4030047.
Повний текст джерелаАнотація:
This paper describes the development trends and prospects of green-energy-based off-road electric vehicles and robots in the agricultural sector. Today, the agriculture sector faces several challenges, such as population growth, increasing energy demands, labor shortages, and global warming. Increases in energy demand cause many challenges worldwide; therefore, many methods are suggested to achieve energy independence from fossil fuels and reduce emissions. From a long-term point of view, the electrification of agricultural vehicles and renewable energy sources appear to be an essential step for robotic and smart farming in Agriculture 5.0. The trend of technological growth using fully autonomous robots in the agricultural sector seems to be one of the emerging technologies to tackle the increased demand for food and address environmental issues. The development of electric vehicles, alternative green fuels, and more energy-efficient technologies such as hybrid electric, robotic, and autonomous vehicles is increasing and improving work quality and operator comfort. Furthermore, related digital technologies such as advanced network communication, artificial intelligence techniques, and blockchain are discussed to understand the challenges and opportunities in industry and research.
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Abunadi, Ibrahim, Amjad Rehman, Khalid Haseeb, Lorena Parra, and Jaime Lloret. "Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture." Sensors 22, no. 17 (September 3, 2022): 6676. http://dx.doi.org/10.3390/s22176676.
Повний текст джерелаАнотація:
In recent decades, networked smart devices and cutting-edge technology have been exploited in many applications for the improvement of agriculture. The deployment of smart sensors and intelligent farming techniques supports real-time information gathering for the agriculture sector and decreases the burden on farmers. Many solutions have been presented to automate the agriculture system using IoT networks; however, the identification of redundant data traffic is one of the most significant research problems. Additionally, farmers do not obtain the information they need in time, such as data on water pressure and soil conditions. Thus, these solutions consequently reduce the production rates and increase costs for farmers. Moreover, controlling all agricultural operations in a controlled manner should also be considered in developing intelligent solutions. Therefore, this study proposes a framework for a system that combines fog computing with smart farming and effectively controls network traffic. Firstly, the proposed framework efficiently monitors redundant information and avoids the inefficient use of communication bandwidth. It also controls the number of re-transmissions in the case of malicious actions and efficiently utilizes the network’s resources. Second, a trustworthy chain is built between agricultural sensors by utilizing the fog nodes to address security issues and increase reliability by preventing malicious communication. Through extensive simulation-based experiments, the proposed framework revealed an improved performance for energy efficiency, security, and network connectivity in comparison to other related works.
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González Perea, Rafael, Aida Mérida García, Irene Fernández García, Emilio Camacho Poyato, Pilar Montesinos, and Juan Antonio Rodríguez Díaz. "Middleware to Operate Smart Photovoltaic Irrigation Systems in Real Time." Water 11, no. 7 (July 21, 2019): 1508. http://dx.doi.org/10.3390/w11071508.
Повний текст джерелаАнотація:
Climate change, water scarcity and higher energy requirements and electric tariff compromises the continuity of the irrigated agriculture. Precision agriculture (PA) or renewable energy sources which are based on communication and information technologies and a large amount of data are key to ensuring this economic activity and guaranteeing food security at the global level. Several works which are based on the use of PA and renewable energy sources have been developed in order to optimize different variables of irrigated agriculture such as irrigation scheduling. However, the large amount of technologies and sensors that these models need to be implemented are still far from being easily accessible and usable by farmers. In this way, a middleware called Real time Smart Solar Irrigation Manager (RESSIM) has been developed in this work and implemented in MATLABTM with the aim to provide to farmers a user-friendly tool for the daily making decision process of irrigation scheduling using a smart photovoltaic irrigation management module. RESSIM middleware was successfully tested in a real field during a full irrigation season of olive trees using a real smart photovoltaic irrigation system.
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Siddiquee, Kazy Noor-e.-Alam, Md Shabiul Islam, Ninni Singh, Vinit Kumar Gunjan, Wong Hin Yong, Mohammad Nurul Huda, and D. S. Bhupal Naik. "Development of Algorithms for an IoT-Based Smart Agriculture Monitoring System." Wireless Communications and Mobile Computing 2022 (April 4, 2022): 1–16. http://dx.doi.org/10.1155/2022/7372053.
Повний текст джерелаАнотація:
Sensor-based agriculture monitoring systems have limited outcomes on the detection or counting of vegetables from agriculture fields due to the utilization of either conventional color transformations or machine learning-based methods. To overcome these limitations, this research is aimed at proposing an IoT-based smart agriculture monitoring system with multiple algorithms such as detection, quantification, ripeness checking, and detection of infected vegetables. This paper presents smart agriculture monitoring systems for Internet of Things (IoT) applications. The CHT has been applied to detect and quantify vegetables from the agriculture field. Using color thresholding and color segmentation techniques, defected vegetables have also been detected. A machine learning method-convolutional neural network (CNN) has been used for the development and implementation of all algorithms. A comparison between traditional methods and CNN has been simulated in MATLAB to find out the optimal method for its implementation in this agricultural monitoring system. Compared to the traditional methods, the CNN is the optimal method in this research work which performed better over the previously developed algorithms with an accuracy of more than 90%. As an example (case study), a tomato field in Chittagong, Bangladesh, was chosen where a camera-mounted mobile robot captured images from the agriculture field for which the proposed IoT-based smart monitoring system was developed. This system will benefit farmers through the digitally monitored output at an agriculture field in Bangladesh as well as in Malaysia. Since this proposed smart IoT-based system is still driven by bulky, costly, and limited powered sensors, in a future work, for the required power of sensors, this research work is aimed at the design and development of an energy harvester (hybrid) (HEH) based on ultralow power electronics circuits to generate the required power of sensors. Implementation of multiple algorithms using CNN, circular Hough transformation (CHT), color thresholding, and color segmentation methods for the detection, quantification, ripeness checking, and detection of infected crops.
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Solanki, Parimal, Dr Dipak M Patel, and Dr Darshak G Thakore. "A Survey on Smart Agricultural System Using LoRa Wireless Technology." International Journal for Modern Trends in Science and Technology 6, no. 5 (May 26, 2020): 13–18. http://dx.doi.org/10.46501/ijmtst060503.
Повний текст джерелаАнотація:
Over the past few years, the designing in smart agriculture system is a very important concept. Using smart farming techniques we can build up the crop yield, and concurrently attain better output from the input. In precision agriculture, a wireless sensor network brings a cost-effective solution to watch and manipulate. We already have many wireless protocols like Wi-Fi, Cellular, BLE (Bluetooth low energy), etc. Although this automation, not optimal for cultivation sensor nodes, there is a demand to send information to a great distance without an internet connection. This leads to boost the LoRa (Long range) technology, which can do very long-range transmission with the lowest cost [14]. The paper provides a brief survey of certain requirements for Smart Agriculture such as wireless sensor networks.
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Triantafyllou, Anna, Panagiotis Sarigiannidis, and Stamatia Bibi. "Precision Agriculture: A Remote Sensing Monitoring System Architecture †." Information 10, no. 11 (November 9, 2019): 348. http://dx.doi.org/10.3390/info10110348.
Повний текст джерелаАнотація:
Smart Farming is a development that emphasizes on the use of modern technologies in the cyber-physical field management cycle. Technologies such as the Internet of Things (IoT) and Cloud Computing have accelerated the digital transformation of the conventional agricultural practices promising increased production rate and product quality. The adoption of smart farming though is hampered because of the lack of models providing guidance to practitioners regarding the necessary components that constitute IoT-based monitoring systems. To guide the process of designing and implementing Smart farming monitoring systems, in this paper we propose a generic reference architecture model, taking also into consideration a very important non-functional requirement, the energy consumption restriction. Moreover, we present and discuss the technologies that incorporate the seven layers of the architecture model that are the Sensor Layer, the Link Layer, the Encapsulation Layer, the Middleware Layer, the Configuration Layer, the Management Layer and the Application Layer. Furthermore, the proposed Reference Architecture model is exemplified in a real-world application for surveying Saffron agriculture in Kozani, Greece.
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Alharbi, Hatem A., and Mohammad Aldossary. "Energy-Efficient Edge-Fog-Cloud Architecture for IoT-Based Smart Agriculture Environment." IEEE Access 9 (2021): 110480–92. http://dx.doi.org/10.1109/access.2021.3101397.
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Ullah, Rafi, Arbab Waseem Abbas, Mohib Ullah, Rafi Ullah Khan, Irfan Ullah Khan, Nida Aslam, and Sumayh S. Aljameel. "EEWMP: An IoT-Based Energy-Efficient Water Management Platform for Smart Irrigation." Scientific Programming 2021 (April 8, 2021): 1–9. http://dx.doi.org/10.1155/2021/5536884.
Повний текст джерелаАнотація:
Precision agriculture is now essential in today’s world, especially for countries with limited water resources, fertile land, and enormous population. Smart irrigation systems can help countries efficiently utilize fresh water and use the excess water for barren lands. Smart water management platform (SWAMP) is an IoT-based smart irrigation project designed for efficient freshwater utilization in agriculture. The primary aim of SWAMP is to auto manage water reserves, distribution, and consumption of various levels, avoid over-irrigation and under-irrigation problems, and auto manage time to maximize production. This research proposed an energy-efficient water management platform (EEWMP), an improved version of SWAMP. EEWMP is an IoT-based smart irrigation system that uses field-deployed sensors, sinks, fusion centres, and open-source clouds. Both models’ performance is evaluated in energy consumption, network stability period, packet sent to destination, and packet delivery ratio. The experimental results show that EEWMP consumes 30% less energy and increases network stability twice than SWAMP. EEWMP can be used in different irrigation models such as drip irrigation, sprinkler irrigation, surface irrigation, and lateral move irrigation with subtle alterations. Moreover, it can also be used in small farms of third-world countries with their existing communication infrastructures such as 2G or 3G.
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Zhang, Jianwen, Jacob Cherian, Ashak Mahmud Parvez, Sarminah Samad, Muhammad Safdar Sial, Mohammad Athar Ali, and Mohammed Arshad Khan. "Consequences of Sustainable Agricultural Productivity, Renewable Energy, and Environmental Decay: Recent Evidence from ASEAN Countries." Sustainability 14, no. 6 (March 17, 2022): 3556. http://dx.doi.org/10.3390/su14063556.
Повний текст джерелаАнотація:
Agriculture is critical for meeting the needs of the world’s population, in terms of food production. As a result, it has become a significant contributor to economic growth. According to various studies, agricultural production is one of the most widely recognized sources of greenhouse gas (GHG) emissions globally. This study explores the causal link between aggregate energy consumption resources, trade liberalization, CO2 emissions, and modern agriculture in selected ASEAN nations from 2000 to 2020, through the use of panel FMOLS data from the United Nations Development Program (fully modified ordinary least square). According to scientific research, the value addition of agricultural commodities helps to reduce CO2 emissions in polluted countries such as the United States. In addition, it was revealed that the quantity of CO2 released per unit of energy spent was positively associated with the amount of energy consumed. The reduction of CO2 emissions is possible in nations where environmental pollution is reducing due to trade liberalization. Although fossil fuels have increased CO2 emissions, research has shown that adopting renewable energy can help mitigate environmental damage. Revenues and productivity in agriculture are increased due to climate-smart agricultural-favored institutions, while greenhouse gas emissions are reduced. As an example of renewable energy, new energy resources may contribute to the preservation of a clean and healthy environment. The use of renewable energy in agriculture reduces the dependency on fossil fuels, which is beneficial for farmers. Trade policy, on the other hand, may stimulate the movement of money and technology, in order to specialize in economies of scale and manufacturing. It is imperative that ASEAN countries examine policies that will improve living standards, while also protecting the environment. This includes measures that will stimulate agricultural sector production and create active marketplaces for international trade
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Li, Xiaomin, Zhiyu Ma, Jianhua Zheng, Yongxin Liu, Lixue Zhu, and Nan Zhou. "An Effective Edge-Assisted Data Collection Approach for Critical Events in the SDWSN-Based Agricultural Internet of Things." Electronics 9, no. 6 (May 29, 2020): 907. http://dx.doi.org/10.3390/electronics9060907.
Повний текст джерелаАнотація:
In the traditional agricultural wireless sensor networks (WSNs), there is a large amount of redundant data and high latency on critical events (CEs) for data collection systems, which increases the time and energy consumption. In order to overcome these problems, an effective edge computing (EC) enabled data collection approach for CE in smart agriculture is proposed. First, the key features data types (KFDTs) are extracted from the historical dataset to keep the main information on CEs. Next, the KFDTs are selected as the collection data type of the software-defined wireless sensor network (SDWSN). Then, the event types are decided by searching the minimum average variance between the sensing data of active nodes and the average value of the key feature data obtained by EC. Furthermore, the sensing nodes are driven to sense the event-related data with a consideration of latency constraints by the SDWSN servers. A real-world testbed was set up in a smart greenhouse for experimental verification of the proposed approach. The results showed that the proposed approach could reduce the number of needed sensors, sensing time, collection data volume, communication time, and provide the low latency agricultural data collection system. Thus, the proposed approach can improve the efficiency of CE sensing in smart agriculture.
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Lanje, Saurabh, Rameshwar Kawitkar, and Sanjay Mishra. "A Sensing Approach for Automated and Real-Time Crop Prediction in the Scope of Smart Farming." BOHR International Journal of Engineering 1, no. 1 (2022): 18–23. http://dx.doi.org/10.54646/bije.004.
Повний текст джерелаАнотація:
Internet of things (IoT) sensors have the ability to provide information about agricultural fields and subsequently take action based on user input, making smart agriculture an emerging concept. The development of a smart farm system using the advantages of cutting-edge technologies like Arduino, IoT, and wireless sensor networks is proposed in this paper. The goal of the study is to use rapidly developing technology, i.e., IoT and automated smart agriculture, to its advantage. The key to increasing the production of productive crops is to keep an eye on the environment. The main feature of this paper is the creation of a system that can use ESP8266 sensors to track temperature, humidity, moisture, and even the movement of animals that could damage crops in an agricultural field. If any discrepancy is detected, the system can send an short messaging service notification to the farmer’s smartphone as well as a notification on the application that was created for the purpose. Through an android application, the system’s duplex communication link, which is based on a cellular Internet interface, enables data examination and irrigation scheduling programming. The device has the potential to be helpful in water-scarce, remote places due to its low cost and energy independence.
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Lanje, Saurabh, Rameshwar Kawitkar, and Sanjay Mishra. "A Sensing Approach for Automated and Real-Time Crop Prediction in the Scope of Smart Farming." BOHR International Journal of Internet of things, Artificial Intelligence and Machine Learning 1, no. 1 (2022): 93–98. http://dx.doi.org/10.54646/bijiam.015.
Повний текст джерелаАнотація:
Internet of things (IoT) sensors have the ability to provide information about agricultural fields and subsequently take action based on user input, making smart agriculture an emerging concept. The development of a smart farm system using the advantages of cutting-edge technologies like Arduino, IoT, and wireless sensor networks is proposed in this paper. The goal of the study is to use rapidly developing technology, i.e., IoT and automated smart agriculture, to its advantage. The key to increasing the production of productive crops is to keep an eye on the environment. The main feature of this paper is the creation of a system that can use ESP8266 sensors to track temperature, humidity, moisture, and even the movement of animals that could damage crops in an agricultural field. If any discrepancy is detected, the system can send an short messaging service notification to the farmer’s smartphone as well as a notification on the application that was created for the purpose. Through an android application, the system’s duplex communication link, which is based on a cellular Internet interface, enables data examination and irrigation scheduling programming. The device has the potential to be helpful in water-scarce, remote places due to its low cost and energy independence.
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Bhatti, Muhammad Azhar, and Snober Fazal. "Impact of Modernized Agriculture and Trade on Carbon Emissions: The Role of Fossil Fuel and Renewable Energy Consumption Evidenced from ASEAN States." iRASD Journal of Energy & Environment 2, no. 2 (December 31, 2021): 55–66. http://dx.doi.org/10.52131/jee.2021.0202.0017.
Повний текст джерелаАнотація:
Sustainable development goals developed to reduce the level of climate transformation and its effects, this study explores the causal association between aggregate energy consumption resources, trade liberalization, CO2 emissions, and modern agriculture in selected ASEAN nations from 2000 to 2018 with the help of panel FMOLS (fully modified ordinary least square). Empirical findings have shown that the value addition level of agricultural products minimizes CO2 emissions in those countries where pollution is high. And found a positive relationship between energy consumption and CO2 emissions. Trade liberalization has made it possible to reduce CO2 emissions in economies where environmental pollution is getting lower. While the use of fossil fuels has intensified CO2 emissions, renewable energy consumption has confirmed positive effects on the pollution of the environment. While Climate-smart agriculture preferred institutions to raise income and productivity, adjusting to climate change sustainably leads to decreased greenhouse gas emissions. For example, new energy resources, renewable energy help keep the environment clean and healthy. It avoids excessive dependency on fossil fuel energy for the determinants of the agriculture sector. On the other hand, Trade policy can motivate the flow of investment opportunities and technology for a specialty in economies of scale and production. Therefore, examining strategies that encourage the agricultural sector's productivity and creating active markets for international trade in ASEAN countries will improve living standards and keep the environment clean and healthy.
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Despotović, Željko, Aleksandar Rodić, and Ilija Stevanović. "Power Supply System and Smart Management of Agriculture Land Using Renewable Energy Sources." Energija, ekonomija, ekologija XXIV, no. 1 (2022): 28–39. http://dx.doi.org/10.46793/eee22-1.28d.
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The paper presents the realization of a power supply system based on renewable energy sources (sun and wind) which is used for irrigation of vegetable crops and for smart management of agricultural land on a plot of 10 ha at the location of the village "Belegiš". The results presented in this paper are part of the project of the Mihajlo Pupin Institute, "Smart management of agricultural land and natural resources using modern technologies". The project is supported by the United Nations Development Agency and the Ministry of Environment of Republic Serbia. The implemented technical solution was awarded as one of the 11 best innovative and climate-smart solutions within the program "Local Development Resistant to Climate Change" implemented by the United Nations Development Program (UNDP) in partnership with the Ministry of Environment, with financial support from the Global Environment Fund (GEF). Within the power supply system are realized the solar power plant with an output power of 8 kW, the wind generator system with a power of 0.5 kW and battery bank of 48 Vdc / 720Ah, as primary power sources and a diesel electric generator (DEA) with a power of 7.5 kW as an auxiliary power source. In addition to this power supply system, a system for remote management of irrigation and smart management of land and natural resources has been implemented. In addition to the mentioned systems, the project also included a system of protection against atmospheric discharges and a complete video surveillance system on a given plot.
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Santiteerakul, Salinee, Apichat Sopadang, Korrakot Yaibuathet Tippayawong, and Krisana Tamvimol. "The Role of Smart Technology in Sustainable Agriculture: A Case Study of Wangree Plant Factory." Sustainability 12, no. 11 (June 5, 2020): 4640. http://dx.doi.org/10.3390/su12114640.
Повний текст джерелаАнотація:
Sustainable development is of growing importance to the agriculture sector because the current lacking utilization of resources and energy usage, together with the pollution generated from toxic chemicals, cannot continue at present rates. Sustainability in agriculture can be achieved through using less (or no) poisonous chemicals, saving natural resources, and reducing greenhouse gas emissions. Technology applications could help farmers to use proper data in decision-making, which leads to low-input agriculture. This work focuses on the role of smart technology implementation in sustainable agriculture. The effects of smart technology implementation are analyzed by using a case study approach. The results show that the plant factory using intelligence technology enhances sustainability performance by increasing production productivity, product quality, crop per year, resource use efficiency, and food safety, as well as improving employees’ quality of life.
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Ingle, Dr A. H. "Literature Review on Design and Fabrication of Agriculture Machine by Using A. I. S." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2698–705. http://dx.doi.org/10.22214/ijraset.2022.44505.
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Abstract: From the time immemorial, the sun is the major source of energy for life on earth used for heat and lighting. Nowadays, solar energy has been known as a renewable energy source. It is an alternative energy to that of fossil fuel and it can be collected from the renewable resources such as sun, wind and hydro. This paper introduces a new development of grass cutter, named as Smart Solar Grass Cutter, by using solar irradiance as a primary energy source with the presence of a solar panel. This grass cutter prototype is developed to reduce air pollutant and improve the current design specifically the blade position based on the previous studies. With current technology, this new prototype is designed as remotely controlled grass cutter using Arduino UNO. Smartphone is used as the remote controller. After developing an established prototype, the design analysis is carried out to be validate with the theoretical values to ensure that the prototype can be safely used. The Smart Solar Grass Cutter can operate more than two hours when the used battery is fully charged. Based upon the results, the Smart Solar Grass Cutter is reliable with high efficiency of the system compared to the previous studies. Therefore, it can be concluded that the prototype is reliable and environmentally friendly.
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Maraveas, Chrysanthos, Dimitrios Loukatos, Thomas Bartzanas, and Konstantinos G. Arvanitis. "Applications of Artificial Intelligence in Fire Safety of Agricultural Structures." Applied Sciences 11, no. 16 (August 22, 2021): 7716. http://dx.doi.org/10.3390/app11167716.
Повний текст джерелаАнотація:
Artificial intelligence applications in fire safety of agricultural structures have practical economic and technological benefits on commercial agriculture. The FAO estimates that wildfires result in at least USD 1 billion in agriculture-related losses due to the destruction of livestock pasture, destruction of agricultural buildings, premature death of farm animals, and general disruption of agricultural activities. Even though artificial neural networks (ANNs), genetic algorithms (GAs), probabilistic neural networks (PNNs), and adaptive neurofuzzy inference systems (ANFISs), among others, have proven useful in fire prevention, their application is limited in real farm environments. Most farms rely on traditional/non-technology-based methods of fire prevention. The case for AI in agricultural fire prevention is grounded on the accuracy and reliability of computer simulations in smoke movement analysis, risk assessment, and postfire analysis. In addition, such technologies can be coupled with next-generation fire-retardant materials such as intumescent coatings with a polymer binder, blowing agent, carbon donor, and acid donor. Future prospects for AI in agriculture transcend basic fire safety to encompass Society 5.0, energy systems in smart cities, UAV monitoring, Agriculture 4.0, and decentralized energy. However, critical challenges must be overcome, including the health and safety aspects, cost, and reliability. In brief, AI offers unlimited potential in the prevention of fire hazards in farms, but the existing body of knowledge is inadequate.
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Vu, Quy Khanh, and Ngoc Anh Le. "An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 07 (July 2, 2021): 88. http://dx.doi.org/10.3991/ijoe.v17i07.23273.
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MANET-IoT networks are currently being focus developed and expected to become popular in next-generation mobile networks due to their simplicity and efficiency in solving real problems in a wide range of areas such as smart agriculture, smart health care, intelligent traffic, military, entertainment, and smart cities. Because of the nature of mobile network nodes, saving energy for MANET is always a complicated problem. In this paper, we proposed a saving energy routing protocol that uses an integrated routing metric from hops number and remaining energy metrics for decision-making to selects a fit route. Besides, we evaluate the performance of the proposed protocol on NS2 simulation software. Simulation results demonstrated the proposed protocol improves the network lifetime and network performance parameters compared to traditional protocols.
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Chittoor, Prithvi Krishna, and Bharatiraja C. "Drone Operated Bidirectional Wireless Charging System for Energy Constrained Devices in Smart Farming Applications." ECS Transactions 107, no. 1 (April 24, 2022): 11867–74. http://dx.doi.org/10.1149/10701.11867ecst.
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The new age of technology has revolutionized the way the agriculture sector functions. Smart machines are gradually captivating primitive farming techniques and aid in increasing the quality and yield of crops. The implementation of Energy Constrained Devices (ECDs) into the agricultural sector has grabbed the curiosity of many researchers and has opened up opportunities for autonomous monitoring of soil-crop’s health. This research benefits the agricultural sector in providing top quality yield at minimal human resources and uses smart machinery, such as drones to monitor the progress on the field. This study aids in implementing the use of ECDs for collecting field data, such as moisture content, temperature, mineral requirements, etc. at a given area. The key challenge in this research is to identify the ECDs that needs to be charged and to find the shortest path between the home position and the ECDs for the drone to fly and charge the required ECDs. The proposed algorithm modifies the Dijkstra’s algorithm and prioritizes the ECDs in the order to be charged and plan a path accordingly.
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Cheema, Sehrish Munawar, Muhammad Ali, Ivan Miguel Pires, Norberto Jorge Gonçalves, Mustahsan Hammad Naqvi, and Maleeha Hassan. "IoAT Enabled Smart Farming: Urdu Language-Based Solution for Low-Literate Farmers." Agriculture 12, no. 8 (August 22, 2022): 1277. http://dx.doi.org/10.3390/agriculture12081277.
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The agriculture sector is the backbone of Pakistan’s economy, reflecting 26% of its GPD and 43% of the entire labor force. Smart and precise agriculture is the key to producing the best crop yield. Moreover, emerging technologies are reducing energy consumption and cost-effectiveness for saving agricultural resources in control and monitoring systems, especially for those areas lacking these resources. Agricultural productivity is thwarted in many areas of Pakistan due to farmers’ illiteracy, lack of a smart system for remote access to farmland, and an absence of proactive decision-making in all phases of the crop cycle available in their native language. This study proposes an internet of agricultural things (IoAT) based smart system armed with a set of economical, accessible devices and sensors to capture real-time parameters of farms such as soil moisture level, temperature, soil pH level, light intensity, and humidity on frequent intervals of time. The system analyzes the environmental parameters of specific farms and enables the farmers to understand soil and environmental factors, facilitating farmers in terms of soil fertility analysis, suitable crop cultivation, automated irrigation and guidelines, harvest schedule, pest and weed control, crop disease awareness, and fertilizer guidance. The system is integrated with an android application ‘Kistan Pakistan’ (prototype) designed in bilingual, i.e., ‘Urdu’ and ‘English’. The mobile application is equipped with visual components, audio, voice, and iconic and textual menus to be used by diverse literary levels of farmers.
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Khoiriyah, Siti, Prima Kurniawaty, and Elok Mutiara. "The Day After, Batu Agriculture Creative Hub Agcrea Adaptive Façade Concept." Proceeding of International Conference on Engineering, Technology, and Social Sciences (ICONETOS) 2, no. 1 (March 2, 2021): 10. http://dx.doi.org/10.18860/iconetos.v2i1.1260.
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The Day after means metaphorical meaning for hope, better architecture design that promotes a new design mindset. The Covid-19 crisis challenged and made us restart the perspective in architectural planning and design towards mitigating epidemic disasters. Design of Batu Agriculture Creative Hub (BACH), a creative and collaborative space for agriculture Start-Up, has considered adaptation strategies for these conditions. Inspired by the smart building strategy, especially the smart envelope for building performance toward resiliency. The smart envelope concept for BACH named agcrea (agriculture + creative), an adaptive facade design, transforms a visual representation of the identity of the local character of the Batu city logo. Kinetic moving panels respond to climate dynamics, it open and close follow the sun and wind conditions. Tested with Ecotect, the pattern of movement of the façade panels makes adjustments to the balance of natural light and ventilation to support health and comfort and energy use efficiency in buildings.
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Liu, Junyong, Yanxin Chai, Yue Xiang, Xin Zhang, Si Gou, and Youbo Liu. "Clean energy consumption of power systems towards smart agriculture: roadmap, bottlenecks and technologies." CSEE Journal of Power and Energy Systems 4, no. 3 (September 24, 2018): 273–82. http://dx.doi.org/10.17775/cseejpes.2017.01290.
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Li, Xiang, Yuying Cao, Xin Yu, Yuhong Xu, Yanfei Yang, Shiming Liu, Tinghai Cheng, and Zhong Lin Wang. "Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture." Applied Energy 306 (January 2022): 117977. http://dx.doi.org/10.1016/j.apenergy.2021.117977.
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Mitkov, Ivan, Veselin Harizanov, and Georgi Komitov. "Determining the energy efficiency of an agrorobot." Agricultural Sciences 13, no. 30 (September 20, 2021): 73–78. http://dx.doi.org/10.22620/agrisci.2021.30.010.
Повний текст джерелаАнотація:
The problem of feeding the population and the lack of trained staff for growing crops is increasing all over the world. This inevitably leads to a change in technology for growing crops. These new technologies rely on autonomous robotic systems for the continuous cultivation of crops without human personnel. Robots are small, smart, interconnected, lightweight machines that aim to release the person from the basic everyday pursuits. Globally, there is a trend in agriculture to automate the hard manual labor with continued increases in yields to feed the population. This article discusses the problems of determining the main energy aspects of agricultural robots. Guidelines are given for determining the energy saving of the robot, depending on the time for its long autonomous operation, the terrain to be cultivated and a number of other factors. Exemplary values of the energy required to drive the agricultural robot and the time for energy recovery through renewable energy sources have been determined.
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Mahto, Rakeshkumar, Deepak Sharma, Reshma John, and Chandrasekhar Putcha. "Agrivoltaics: A Climate-Smart Agriculture Approach for Indian Farmers." Land 10, no. 11 (November 20, 2021): 1277. http://dx.doi.org/10.3390/land10111277.
Повний текст джерелаАнотація:
India is a leader when it comes to agriculture. A significant part of the country’s population depends on agriculture for livelihood. However, many of them face challenges due to using unreliable farming techniques. Sometimes the challenges increase to the extent that they commit suicide. Besides, India is highly populated, and its population is steadily increasing, requiring its government to grow its GDP and increase its energy supply proportionately. This paper reviews integrating solar farming with agriculture, known as Agrivoltaics, as a Climate-Smart Agriculture (CSA) option for Indian farmers. This study is further supported by the Strength, Weaknesses, Opportunities, and Threats (SWOT) analysis of agrivoltaics. Using the SWOT analysis, this article presents how agrivoltaics can make agriculture sustainable and reliable. This paper identifies rural electrification, water conservation, yield improvement, sustainable income generation, and reduction in the usage of pesticides as the strengths of agrivoltaics. Similarly, the paper presents weaknesses, opportunities, and threats to agrivoltaics in India. The research concludes with the findings that agrivoltaics have the potential of meeting multiple objectives such as meeting global commitments, offering employment, providing economic stability, increasing clean energy production capacity, conserving natural resources, and succeeding in several others. The paper also includes a discussion about the findings, suggestions, and implications of adopting agrivoltaics on a large scale in India.
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Bharti, Avinash, Kunwar Paritosh, Venkata Ravibabu Mandla, Aakash Chawade, and Vivekanand Vivekanand. "GIS Application for the Estimation of Bioenergy Potential from Agriculture Residues: An Overview." Energies 14, no. 4 (February 9, 2021): 898. http://dx.doi.org/10.3390/en14040898.
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Agriculture residue is a promising resource of energy. It can be seen as a source of power production. In India, there is a huge amount of biomass available, but it cannot be used in proper ways, and with the help of GIS it can be customised. In the present paper, it is estimated that biomass reserves are available for power generation. The biomass produced by the surplus agricultural crops is reflected as a source of fuel for electricity generation. The data taken by satellite are useful for assessment of the areas with the help of satellite images taken in high resolution, which increases the preciseness of estimation. An agriculture cropland map with agricultural statistics has been analyzed in GIS to discover the agricultural straw potential for bioenergy generation. Due to unawareness about the benefits and uses of GIS, the modern farming sector bears a loss of huge bioenergy potential every year. To overcome the above mentioned challenges, the agricultural system needs a major shift from conventional farming to smart farming practices with the help of GIS. Agricultural waste is the best source for bioenergy production, and it can be used as biomass for meeting renewable energy goals in the country.
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Bersani, Chiara, Ahmed Ouammi, Roberto Sacile, and Enrico Zero. "Model Predictive Control of Smart Greenhouses as the Path towards Near Zero Energy Consumption." Energies 13, no. 14 (July 15, 2020): 3647. http://dx.doi.org/10.3390/en13143647.
Повний текст джерелаАнотація:
Modern agriculture represents an economic sector that can mainly benefit from technology innovation according to the principles suggested by Industry 4.0 for smart farming systems. Greenhouse industry is significantly becoming more and more technological and automatized to improve the quality and efficiency of crop production. Smart greenhouses are equipped with forefront IoT- and ICT-based monitoring and control systems. New remote sensors, devices, networking communication, and control strategies can make available real-time information about crop health, soil, temperature, humidity, and other indoor parameters. Energy efficiency plays a key role in this context, as a fundamental path towards sustainability of the production. This paper is a review of the precision and sustainable agriculture approaches focusing on the current advance technological solution to monitor, track, and control greenhouse systems to enhance production in a more sustainable way. Thus, we compared and analyzed traditional versus model predictive control methods with the aim to enhance indoor microclimate condition management under an energy-saving approach. We also reviewed applications of sustainable approaches to reach nearly zero energy consumption, while achieving nearly zero water and pesticide use.
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Maraveas, Chrysanthos. "Incorporating Artificial Intelligence Technology in Smart Greenhouses: Current State of the Art." Applied Sciences 13, no. 1 (December 20, 2022): 14. http://dx.doi.org/10.3390/app13010014.
Повний текст джерелаАнотація:
This article presents the current state-of-the-art research on applying artificial intelligence (AI) technology in smart greenhouses to optimize crop yields, water, and fertilizer use efficiency, to reduce pest and disease, and to enhance agricultural sustainability. The key technologies of interest were robotic systems for pesticide application, irrigation, harvesting, bio-inspired algorithms for the automation of greenhouse processes, energy management, machine path planning and operation of UAVs (unmanned aerial vehicles), resolution of scheduling problems, and image signal processing for pest and disease diagnosis. Additionally, the review investigated the cost benefits of various energy-management and AI-based energy-saving technologies, the integration of photovoltaics and dynamic pricing based on real-time and time-of-use metrics, and the cost benefits of LoRa, Wi-Fi, Bluetooth, ZigBee, mobile, and RFID (radiofrequency identification) technologies. The review established that commercially viable AI technologies for agriculture had increased exponentially. For example, AI-based irrigation and soil fertilizer application enabled farmers to realize higher returns on investment on fertilizer application and gross returns above the fertilizer cost, higher yields, and resource use efficiency. Similarly, AI image detection techniques led to the early diagnosis of powdery mildew. The precise operation of agricultural robots was supported by the integration of light imaging, detection, and ranging (LIDAR) optical and electro-optical cameras in place of the traditional GPS (geographic positioning systems) technologies, which are prone to errors. However, critical challenges remained unresolved, including cost, disparities between research and development (R&D) innovations and technology commercialization, energy use, the tradeoff between accuracy and computational speeds, and technology gaps between the Global North and South. In general, the value of this review is that it surveys the literature on the maturity level of various AI technologies in smart greenhouses and offers a state-of-the-art picture of how far the technologies have successfully been applied in agriculture and what can be done to optimize their usability.
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Hati, Anirban Jyoti, and Rajiv Ranjan Singh. "Smart Indoor Farms: Leveraging Technological Advancements to Power a Sustainable Agricultural Revolution." AgriEngineering 3, no. 4 (October 6, 2021): 728–67. http://dx.doi.org/10.3390/agriengineering3040047.
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Conventional farming necessitates a large number of resources and infrastructure such as land, irrigation, manpower to manage farms, etc. Modern initiatives are required to automate conventional farms. Smart indoor farms offer the potential to remedy the shortfalls of conventional farms by providing a controlled, intelligent, and smart environment. This paper presents a three-dimensional perspective consisting of soilless farming, energy harvesting, and smart technologies, which could be considered as the three important characteristics of smart indoor farms. A six-layer smart indoor farms architecture has also been proposed, which explains how data are collected using various sensors and devices and then transmitted onto the cloud infrastructure for further analysis and control through various layers. Artificial lighting, smart nutrition management, and artificial climate control, to name a few, are some of the important requirements for smart indoor farms while considering control and service management factors. The major bottleneck in installing such systems is both the economical and the technical constraints. However, with the evolution of technology (and when they become widely available in the near future), a more favourable farming scenario may emerge. Furthermore, smart indoor farms could be viewed as a potential answer for meeting the demands of a sustainable agricultural revolution as we move closer to Agriculture 4.0. Finally, in order to adapt smart indoor farms and their study scope, our work has presented various research areas to potential researchers.
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Tankha, Sunil, Denise Fernandes, and N. C. Narayanan. "Overcoming barriers to climate smart agriculture in India." International Journal of Climate Change Strategies and Management 12, no. 1 (January 20, 2020): 108–27. http://dx.doi.org/10.1108/ijccsm-10-2018-0072.
Повний текст джерелаАнотація:
Purpose This paper aims to report on a case in which encouraging climate-smart agriculture in the form of better irrigation techniques in India can contribute to both climate change mitigation and adaptation goals by improving resource-use efficiency. It provides grounded institutional analysis on how these transformations can occur. Design/methodology/approach The authors based their research on three complementary approaches: institutional, sociological and technical. The institutional approach analyzed actors and interests in the water-energy nexus in India via over 25 semi-structured key informant interviews. The sociological approach surveyed over 50 farmers and equipment suppliers for insight into technology adoption. The technical component analyzed water and energy consumption data to calculate potential benefits from transitioning to more efficient techniques. Findings Because policymakers have a preference for voluntary policy instruments over coercive reforms, distortions in policy and market arenas can provide opportunities for embedded actors to leverage technology and craft policy bargains which facilitate Pareto superior reforms and, thereby, avoid stalemates in addressing climate change. Enlarging the solution space to include more actors and interests can facilitate such bargains more than traditional bilateral exchanges. Practical implications The analysis provides insights into crafting successful climate action policies in an inhospitable institutional terrain. Originality/value Studies about climate change politics generally focus on stalemates and portray the private sector as resistant and a barrier to climate action. This paper analyzes a contrary phenomenon, showing how reforms can be packaged in Pareto superior formats to overcome policy stalemates and generate technology-based climate and environmental co-benefits in even unpromising terrain such as technologically laggard and economically constrained populations.
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Reddy, Y. Harshavardhan, Adnan Ali, A. Zaheer Sha, P. Madhulaya, P. Madhulatha, G. Varahi, P. Lakshmisravya, and R. Varaprasad. "Photovoltaic, Internet-of-Things-Enabled Intelligent Agricultural Surveillance System." South Asian Research Journal of Engineering and Technology 4, no. 5 (September 4, 2022): 78–85. http://dx.doi.org/10.36346/sarjet.2022.v04i05.001.
Повний текст джерелаАнотація:
The implementation of wireless communication technologies for monitoring and control systems resulted in the first instance of "smart" farming. Precision agriculture (PA) is characterized by the employment of cutting-edge technology and equipment calibrated to the inch to precisely monitor and treat crops. Smart PA is able to assist farmers in increasing crop yields and simultaneously increasing efficiency and reducing stress by utilising wireless sensor networks (WSNs) and the Internet of Things (IoT). In this paper, an Internet of Things–enabled agricultural monitoring system is discussed. Data on the environment will be gathered in the field by solar-powered prototype nodes, and then transmitted to a central station for processing. Utilizing two nodes, it was determined whether or not it is advantageous to add energy harvesting into an electrical device. An experimental testbed demonstrates how the system might work in the future by capturing energy. Using a gadget that can harvest energy can lengthen the amount of time a device is able to run by supplying it with electricity, charging the battery, and increasing the battery's capacity.
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Kour, Kanwalpreet, Deepali Gupta, Kamali Gupta, Gaurav Dhiman, Sapna Juneja, Wattana Viriyasitavat, Hamidreza Mohafez, and Mohammad Aminul Islam. "Smart-Hydroponic-Based Framework for Saffron Cultivation: A Precision Smart Agriculture Perspective." Sustainability 14, no. 3 (January 19, 2022): 1120. http://dx.doi.org/10.3390/su14031120.
Повний текст джерелаАнотація:
Saffron, one of the most expensive crops on earth, having a vast domain of applications, has the potential to boost the economy of India. The cultivation of saffron has been immensely affected in the past few years due to the changing climate. Despite the use of different artificial methods for cultivation, hydroponic approaches using the IoT prove to give the best results. The presented study consists of potential artificial approaches used for cultivation and the selection of hydroponics as the best approach out of these based on different parameters. This paper also provides a comparative analysis of six present hydroponic approaches. The research work on different factors of saffron, such as the parameters responsible for growth, reasons for the decline in growth, and different agronomical variables, has been shown graphically. A smart hydroponic system for saffron cultivation has been proposed using the NFT (nutrient film technique) and renewable sources of energy.
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Botero-Valencia, J. S., M. Mejia-Herrera, and Joshua M. Pearce. "Low cost climate station for smart agriculture applications with photovoltaic energy and wireless communication." HardwareX 11 (April 2022): e00296. http://dx.doi.org/10.1016/j.ohx.2022.e00296.
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Banđur, Đoko, Branimir Jakšić, Miloš Banđur, and Srđan Jović. "An analysis of energy efficiency in Wireless Sensor Networks (WSNs) applied in smart agriculture." Computers and Electronics in Agriculture 156 (January 2019): 500–507. http://dx.doi.org/10.1016/j.compag.2018.12.016.
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