Journal articles: 'Agricultural pests'

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Martin, Andrew. "Molluscs as Agricultural Pests." Outlook on Agriculture 20, no. 3 (September 1991): 167–74. http://dx.doi.org/10.1177/003072709102000307.

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Hoy, Marjorie A., W. O. C. Symondson, and J. E. Liddell. "The Ecology of Agricultural Pests." Florida Entomologist 80, no. 2 (June 1997): 305. http://dx.doi.org/10.2307/3495566.

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Skendžić, Sandra, Monika Zovko, Ivana Pajač Živković, Vinko Lešić, and Darija Lemić. "The Impact of Climate Change on Agricultural Insect Pests." Insects 12, no. 5 (May 12, 2021): 440. http://dx.doi.org/10.3390/insects12050440.

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Climate change and global warming are of great concern to agriculture worldwide and are among the most discussed issues in today’s society. Climate parameters such as increased temperatures, rising atmospheric CO2 levels, and changing precipitation patterns have significant impacts on agricultural production and on agricultural insect pests. Changes in climate can affect insect pests in several ways. They can result in an expansion of their geographic distribution, increased survival during overwintering, increased number of generations, altered synchrony between plants and pests, altered interspecific interaction, increased risk of invasion by migratory pests, increased incidence of insect-transmitted plant diseases, and reduced effectiveness of biological control, especially natural enemies. As a result, there is a serious risk of crop economic losses, as well as a challenge to human food security. As a major driver of pest population dynamics, climate change will require adaptive management strategies to deal with the changing status of pests. Several priorities can be identified for future research on the effects of climatic changes on agricultural insect pests. These include modified integrated pest management tactics, monitoring climate and pest populations, and the use of modelling prediction tools.

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T, Chethan, Sreejith Vakayil, Vijay R, Nandini S N, Arshad Khayum, Chaitra K, Chethan Kumar K B, and C. Venkatesh. "From Pollinators to Pests: The Dual Roles of Insects in Shaping Agricultural Landscapes." Journal of Scientific Research and Reports 30, no. 7 (July 2, 2024): 647–63. http://dx.doi.org/10.9734/jsrr/2024/v30i72178.

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Insects play a pivotal role in agriculture, acting both as beneficial pollinators and as destructive pests. Pollinators, such as bees, butterflies, and other insects, are essential for the successful reproduction of many crops, enhancing biodiversity and contributing significantly to global food production. Conversely, insect pests pose substantial threats to agricultural productivity by damaging crops, leading to economic losses and increased reliance on chemical pesticides. This duality underscores the complex interplay between insects and agricultural systems, necessitating integrated pest management strategies that balance the promotion of pollinators and the control of pests. Understanding and managing these dual roles are crucial for sustainable agricultural practices, ensuring food security while maintaining ecological balance.

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Rausser, Gordon C. "Predatory Versus Productive Government: The Case of U.S. Agricultural Policies." Journal of Economic Perspectives 6, no. 3 (August 1, 1992): 133–57. http://dx.doi.org/10.1257/jep.6.3.133.

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This essay will argue that agricultural policy in the United States has led to both the enhancement of efficiency through “productive policies” and the transfer of wealth and income to special interests through redistributive or “predatory policies.” These two activities can be labeled as PESTs and PERTs. PEST policies, or political-economic-seeking transfers, are meant to redistribute wealth from one social group to another and are not explicitly concerned with efficiency. In contrast, PERTs, or political-economic resource transactions, are intended to correct market failures or to provide public goods; these policies have neutral distributional effects, at least in design. A review of the history of public policy in agriculture reveals not only tension between the PERT and PEST roles of the public sector, but also some coordination between these two types of activities. As different interest groups pressure the political process, the government trades off PESTs and PERTs in its attempts to acquire, balance, and secure political power. At times this has led to combinations of programs that appear incoherent. In such a world, the challenge for economists is to design and advocate policies that are both economically productive and politically sustainable.

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Tiwari, Awanindra Kumar. "Insect Pests in Agriculture Identifying and Overcoming Challenges through IPM." Archives of Current Research International 24, no. 3 (March 5, 2024): 124–30. http://dx.doi.org/10.9734/acri/2024/v24i3651.

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Insect pests pose significant challenges to agricultural production worldwide, threatening food security and economic stability. Integrated Pest Management (IPM) offers a comprehensive approach to address these challenges sustainably. This abstract explores the principles and strategies of IPM, emphasizing its focus on minimizing environmental impacts and reducing reliance on chemical pesticides. Through biological control, cultural practices, mechanical control, and selective pesticide use, IPM aims to manage pest populations effectively while promoting biodiversity and long-term agricultural sustainability. By implementing IPM strategies, farmers can mitigate the impact of insect pests while fostering resilient and productive agricultural systems. Insect pests pose a significant threat to agricultural productivity worldwide. They can devastate crops, leading to substantial economic losses and threatening food security. Identifying and managing these pests effectively is crucial for sustainable agriculture. Integrated Pest Management (IPM) offers a comprehensive approach to address insect pest challenges while minimizing environmental impacts and reliance on chemical pesticides. Insect pests represent a persistent threat to agricultural productivity and food security globally. This abstract delves into the principles and practices of Integrated Pest Management (IPM) as a sustainable approach to address these challenges. IPM integrates various strategies, including biological control, cultural practices, mechanical control, and selective pesticide use, to manage pest populations effectively while minimizing environmental harm. By emphasizing monitoring, threshold levels, and selective interventions, IPM promotes the judicious use of pesticides and fosters ecosystem resilience. The abstract underscores the importance of IPM in promoting biodiversity, reducing chemical inputs, and ensuring the long-term sustainability of agricultural systems. Through the adoption of IPM principles, farmers can mitigate the impacts of insect pests while advancing environmentally conscious and economically viable agricultural practices.

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Rodingpuia, Christopher, and H. Lalthanzara. "An insight into black cutworm (Agrotis ipsilon): A glimpse on globally important crop pest." Science Vision 21, no. 2 (June 30, 2021): 36–42. http://dx.doi.org/10.33493/scivis.21.02.02.

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Many agricultural pests create problems for farmers leading to production loss. Since agriculture plays an important role in the economy of a nation, controlling and management of such pests is of great importance. Cutworms are notorious agricultural pests infesting a wide variety of crops leading to production loss. Cutworms are distributed worldwide and many species of cutworms have also been reported feeding on all kinds of crops. Agrotis ipsilon is one of the most common cutworm species prevailing in different continents. Understanding the biology and management of these pests will be of great use for farmers. In this article, brief information on cutworms; specifically A. ipsilon species is highlighted. A brief description of host, migration, control and management of A. ipsilon are also highlighted.

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Bhagat, Deepa. "(Invited) Sensors for Agricultural Pests Management." ECS Meeting Abstracts MA2021-01, no. 57 (May 30, 2021): 1536. http://dx.doi.org/10.1149/ma2021-01571536mtgabs.

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Susanti, Roza, Riko Nofendra, Zaini Zaini, Muhammad Syaiful Amri Bin Suhaimi, and Muhammad Ilhamdi Rusydi. "The Use of Artificial Neural Networks in Agricultural Plants." Andalas Journal of Electrical and Electronic Engineering Technology 2, no. 2 (January 18, 2023): 62–68. http://dx.doi.org/10.25077/ajeeet.v2i2.32.

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Artificial Neural Networks use high-performance computing and big data technology, opportunities for science to create new opportunities in agriculture. The purpose of writing this article is to analyze the use of artificial neural networks on (a) plant diseases based on plant leaf diseases, (b) plant pests, (c) growth or quality, and (d) agricultural products. The writing method used is a literature study of the research that has been done. The keywords used in the search for references include ANN, plant, diseases, pests, growth or quality, and agricultural products. Publishers for the reference in this article are ScienceDirect and IEEE. The years of publication of the references are restricted from 2015 to 2022. Based on the literature study results, it was concluded that Artificial Neural Networks' deep learning models are accurate for detecting and classifying leaf diseases and pests, detecting growth, and application to agricultural plant products.

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CASTONGUAY, STÉPHANE. "Creating an Agricultural World Order: Regional Plant Protection Problems and International Phytopathology, 1878–1939." Agricultural History 84, no. 1 (January 1, 2010): 46–73. http://dx.doi.org/10.1215/00021482-84.1.46.

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Abstract Beginning in 1878 with the International Phylloxera Convention of Berne, international conventions have sought to relieve national agricultural industries from two specific burdens. First, by defining phytosanitary practices to be enforced by national plant protection services, these conventions attempted to prevent the introduction of plant diseases and pests into national territories from which they were previously absent. Second, by standardizing these practices—especially through the design of a unique certificate of inspection—the conventions attempted to eliminate barriers such as quarantines affecting international agricultural trade. The succession of phytopathological conventions seemed to epitomize the coalescence of an international community against agricultural pests. What actually coalesced was bio-geopolitics wherein plant pathologists and economic entomologists from North America and the British Empire questioned the so-called internationality of the environmental and economic specificities of continental European agriculture, embodied in "international" conventions. Although an international phenomenon, the dissemination of agricultural pests provided opportunities for cooperation on a strictly regional albeit transnational basis that pitted bio-geopolitical spaces against each other. This article retraces the formation of these spaces by analyzing the deliberations of committees and congresses that gathered to define an international agricultural order based on the means to prevent the spread of plant disease and pests.

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Acharya, MC, and RB Thapa. "Remote sensing and its application in agricultural pest management." Journal of Agriculture and Environment 16 (June 1, 2015): 43–61. http://dx.doi.org/10.3126/aej.v16i0.19839.

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Agricultural production is significantly affected by biotic- living organisms, such as predator, parasites, pathogens and abiotic factors, like temperature, humidity, rainfall etc. To manage the pests, monitoring and forecasting has been an integrated part of the crop production system in developed countries. In recent years, remote sensing has become popular in pest monitoring, yield forecasting, and early warning to crop growers for timely management of potential pests in agriculture. This paper highlights basic functioning of remote sensing and its application in agriculture with main emphasis on pest management.

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Nsengimana, Olivier, Faith M. Walker, Paul W. Webala, Innocent Twizeyimana, Marie-Claire Dusabe, Daniel E. Sanchez, Colin J. Sobek, et al. "Our good neighbors: Understanding ecosystem services provided by insectivorous bats in Rwanda." PLOS ONE 18, no. 6 (June 23, 2023): e0287536. http://dx.doi.org/10.1371/journal.pone.0287536.

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Bats are prodigious consumers of agricultural and forest pests, and are, therefore, a natural asset for agricultural productivity, suppressing populations of such pests. This study provides baseline information of diet of 143 bats belonging to eight insectivorous bat species from agricultural areas of Rwanda while evaluating the effectiveness of bats as pest suppressors. Using DNA metabarcoding to analyze bat fecal pellets, 85 different insect species were detected, with 60% (n = 65), 64% (n = 11) and 78% (n = 9) found to be agricultural pests from eastern, northern and western regions, respectively. Given the high percentages of agricultural pests detected, we submit that Rwandan insectivorous bats have the capacity for biocontrol of agricultural pests. Rwandan bat populations should be protected and promoted since they may foster higher crop yields and sustainable livelihoods.

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Bernal, Julio S., and Raul F. Medina. "Agriculture sows pests: how crop domestication, host shifts, and agricultural intensification can create insect pests from herbivores." Current Opinion in Insect Science 26 (April 2018): 76–81. http://dx.doi.org/10.1016/j.cois.2018.01.008.

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Vargas Batis, Belyani, Dayamí Guerrero Hernández, Yordi Mauro Ramos García, Giselle Bestard Leyva, and Rubert Rodríguez Fonseca. "Suburban agriculture: biodiversity, ecosystem services and natural control of agricultural pests." Revista Metropolitana de Ciencias Aplicadas 4, Suplemento 1 (June 1, 2021): 137–46. http://dx.doi.org/10.62452/z172w154.

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Current agricultural processes require development in harmony with the environment, for this it is necessary to understand all the phenomena that take place in agroecosystems, including the interactions between their components. The objective of the work was to theoretically establish the existing relationship between suburban agriculture, biodiversity, ecosystem services and natural pest control. A bibliographic review was carried out where it was found that suburban agriculture is a form of agriculture that is based on achieving a lower impact on the environment and promoting adequate values of biodiversity. This is important because biodiversity is the basis of agriculture and the source for human beings to satisfy their needs thanks to the ecosystem goods and services it provides. Ecosystem services in turn become tools for producers to manage their farms in a sustainable way using the endogenous resources available to them. Natural pest control is one of the processes that is favored on farms, since there are many groups of organisms, mainly plants, that can provide resources to combat harmful organisms. There is an interdependent relationship between suburban agriculture, biodiversity, ecosystem services, and natural pest control.

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Patel, Tarun Kumar. "Entomopathogenic Fungi: Nature's Secret Weapon Against Agricultural Pests." Journal of Ravishankar University (PART-B) 36, no. 2 (December 31, 2023): 109–25. http://dx.doi.org/10.52228/jrub.2023-36-2-8.

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Insect pests pose significant challenges to agricultural productivity and crop yield worldwide. Conventional pest control methods, such as chemical pesticides, have limitations and adverse environmental effects. Therefore, there is a growing need for sustainable and eco-friendly alternatives in pest management. This review explores the potential of entomopathogenic fungi as a promising biological control agent for insect pests in agriculture. The review begins by providing an overview of entomopathogenic fungi and their significancce. These fungi possess unique mechanisms to infect and kill insect pests. The mode of action involves attachment of fungal spores to the insect's cuticle, followed by penetration, colonization, and release of toxic metabolites within the host. Various factors influence the efficacy of entomopathogenic fungi, including environmental conditions, insect host susceptibility, and formulation/application methods. The benefits of entomopathogenic fungi as biological control agents are discussed, including their compatibility with integrated pest management (IPM) strategies and minimal impact on non-target organisms. However, challenges exist in scaling up their commercial application. The review presents case studies showcasing successful field applications of entomopathogenic fungi in pest management. Future prospects and research directions are identified, emphasizing the importance of continued advancements in understanding the interactions between entomopathogenic fungi and insect pests. Regulatory frameworks and public acceptance are crucial for the widespread adoption of these fungi in agriculture. In conclusion, entomopathogenic fungi offer immense potential as sustainable and effective tools for biological control of insect pests in agriculture. Their ability to target specific pests, compatibility with IPM, and minimal environmental impact make them a viable alternative to chemical pesticides. Further research, collaboration, and implementation are necessary to fully harness the potential of entomopathogenic fungi in integrated pest management strategies.

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Öztürk, Övünç. "TACO: An Ontology in Turkish for Identifying and Controlling Plant Pests, Weeds and Diseases." Deu Muhendislik Fakultesi Fen ve Muhendislik 26, no. 77 (May 14, 2024): 242–47. http://dx.doi.org/10.21205/deufmd.2024267707.

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While ensuring a more sustainable production, because of reduced chemical usage it is more complicated to control plant pests, diseases and weeds in smart agriculture. For this reason, it is of great importance to detect pests, diseases and weeds at the earliest stage. It is important that both farmers and the artificial intelligence applications developed for agricultural control should be able to detect these organisms and to know the agricultural control methods. Semantic technologies and ontologies provide machine interpretable information and solutions for heterogeneity. This study presents the Turkish Agricultural Control Ontology (TACO), which is built in Turkish and contains information about plant pests, diseases and weeds common in Turkey. The contributions of the study are that it is the first Turkish ontology built in this field and that the methods of agricultural control are included within the scope of the ontology. According to the commonly used ontology evaluation metrics, TACO is predominantly characterized as a deep classification taxonomy. In addition, it was concluded that the classes in the ontology have an evenly distributed and sufficient number of class individuals.

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Ereim, Sama Faisal Abdulsattar Abdulrazzaq, and Sadoon Dhahir Khalaf Al-Dulaimy. "Natural Problems Face Agricultural Industry in The Countryside of Heet District." Journal of AlMaarif University College 33, no. 4 (December 7, 2022): 412–34. http://dx.doi.org/10.51345/.v33i4.603.g318.

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The study area suffers from a number of natural problems that affect agricultural production, the most important of which are the problems related to climate, soil erosion, the problem of agricultural pests and diseases, jungles, the problem of water and the problem of soil salinity. Its impact on agricultural production, one of the problems that is difficult to control is the problem of extreme climate, as it clearly affects crops, especially with the decline of the idea of protected agriculture, which provides suitable weather for plants. As for erosion, it leads to a significant decrease in soil fertility, as well as pollution of the river and air. It was necessary to address this problem by providing vegetation cover and intensifying agriculture. As for pests, we have noticed the spread of many types of agricultural pests that have had a very clear impact on agricultural production, especially with the absence of means to combat them and the farmers’ ignorance of how to combat each type. As for the jungle, it is a problem with known causes, but it needs solutions, including combating the jungle before planting and purifying the seeds before planting, and one of the natural problems affecting agricultural production is the water problem. Drought, as for the problem of salinity, random watering by immersion, high temperatures, salinity of the water itself, and the disappearance of drains are all factors that exacerbated the problem of salinity.

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Luo, Yingjie, Lei Ni, Fangkai Cai, Daming Wang, Yang Luo, Xiaoyu Li, Ning Fu, Jiangwen Tang, and Liang Xue. "Detection of Agricultural Pests Based on YOLO." Journal of Physics: Conference Series 2560, no. 1 (August 1, 2023): 012013. http://dx.doi.org/10.1088/1742-6596/2560/1/012013.

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Abstract Focus on the problem of the species pests are difficult to identify in agricultural production an application based on the YOLO algorithm is presented. The algorithm extracts features fastly and complete detection task simultaneously. Through collecting agricultural pests, the algorithm establishes a data-set build target object detection model and train them, the problem of difficulties in identifying agricultural pest species and locating them has been solved. The result shows that the mAP’value of YOLO algorithm is 92.42%, the prediction precision is 96.8%. The algorithm has a high recognition rate, and identify the species of pests fastly and accurately, it can meet the detection and identification requirements.

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L. V., Dr Patil. "Efficient Model on Corp Disease and Pest Detection with Deep Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 16, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem30880.

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Agricultural production faces significant challenges due to pests and diseases, causing substantial losses in crop yield globally. Traditional methods of pest and disease management are often manual, time-consuming, and prone to errors. In recent years, the integration of artificial intelligence (AI) techniques, particularly deep learning algorithms, with modern information and communication technology has shown promising results in addressing these challenges. This paper presents a comprehensive review of recent advancements in applying deep learning for detecting and classifying agricultural pests, diseases, and weeds. Various deep learning models, including convolutional neural networks (CNNs) such as Faster R-CNN, InceptionV3, DenseNet, and AlexNet, have been explored for their efficacy in identifying pests, diseases, and weeds in crops. While models like Faster R-CNN, InceptionV3, and DenseNet have demonstrated high accuracy rates ranging from 78.71% to 99.62% in classification tasks across different datasets and crops, the AlexNet architecture has also shown promising results in certain applications within agricultural image analysis. Additionally, the development of lightweight CNN architectures and the fusion of deep features with traditional handcrafted features have further enhanced the accuracy and efficiency of detection systems. Furthermore, the review discusses challenges and future research directions in the field, emphasizing the importance of large-scale datasets, model optimization, and real-time applications for practical implementation in agriculture. Overall, the findings highlight the potential of deep learning technologies, including models like AlexNet, in revolutionizing pest and disease management practices, leading to improved crop yield, food security, and sustainable agriculture. Keywords: Agricultural pests, plant diseases, deep learning, convolutional neural networks (CNNs), AlexNet, classification

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Onopa, Volodymyr, and Dmytro Artemenko. "Results of Experimental Studies Pneumatic Harvesting of Pests Agricultural Crops." National Interagency Scientific and Technical Collection of Works. Design, Production and Exploitation of Agricultural Machines, no. 52 (2022): 32–40. http://dx.doi.org/10.32515/2414-3820.2022.52.32-40.

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The article presents the results of experimental research on the pneumatic collection of pests of agricultural crops. Today, insect pests are one of the main problems in agriculture. Pests cause 20 to 40 percent of global crop losses every year, and pesticide treatment is the main method of control. The continuous use of pesticides leads to potential human diseases, plant and soil pollution, so much attention is paid to ecological control methods. Pneumatic collection of pests is the main and most effective means of control. And the development of new designs and devices for its implementation is an urgent task. The analysis of the constructions and researches of pneumatic machines for harvesting pests of agricultural crops allowed us to come to the conclusion that recently, machines with a pneumatic harvesting system are most often used for harvesting pests, as those that damage the plant the least. Due to their efficiency, pneumatic machines of the suction type are becoming the most popular. The use of machines of this type will make it possible to obtain ecologically clean food products without the use of chemical means of control. In the work, the design of the pneumodisinfector and the device for the pneumatic collection of pests of agricultural crops is proposed and the efficiency of its operation is investigated. Experimental studies of the proposed pneumodisinfectant sector showed that, on average, for three harvests, the effectiveness was: on winter wheat - 74.0%, on alfalfa - 60%, on potatoes - 68.3%, on eggplant - 78.5%, on tomatoes - 79, 3%, sweet pepper – 91.0%. The number of plants affected by viruses decreased by 1.2 times compared to the control without pneumodisinfection. The costs of applying chemical protection exceeded the costs of pneumodisinfection by 4.7 times. On the basis of the obtained data, in the conditions of production crops of winter wheat, alfalfa, eggplant and potatoes, the use of a pneumodisinfector is an effective method.

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Shchinnikov, Ilya, Stanislav Tokarev, and Dmitry Surinsky. "Justification of the need to systematize pest control at AIC objects." АгроЭкоИнфо 1 S (October 15, 2022): 7. http://dx.doi.org/10.51419/20212s1107.

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The analysis of modern ensuring the safety of agricultural crops and the preservation of crops from pests is carried out. The use of systems to ensure the protection of agro-industrial complex from synanthropic pests is substantiated. The advantages of the electrophysical method of control and the need to create an effective system for protecting agricultural crops from pests are substantiated. The essence of each direction of the electrophysical method is revealed. An integrated protection of agricultural crops based on an information-software complex for monitoring and evaluating the effectiveness of plant protection against pests is proposed. The use of the information-software complex is substantiated. Keywords: CONTROL METHODS, PESTS IN THE AGRO-INDUSTRIAL COMPLEX, ELECTROPHYSICAL METHOD OF PROTECTION

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Kellen, Selmi Yohana Stefanie, and Fredrika Tapyor. "Peran Penyuluh Pertanian Dalam Penanggulangan Hama Penyakit Pada Bawang Merah (Allium Cepa L) Di Kampung Arsopura Distrik Skanto Kabupaten Keerom." Agrotek 11, no. 2 (February 29, 2024): 103–15. http://dx.doi.org/10.46549/agrotek.v11i2.362.

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The agricultural sector is a strategic sector in national development. The increase in production has been given by agricultural extension activities. The agricultural instructor must be someone who is competent in the field of agriculture and can communicate effectively and be responsive in dealing with every problem and question quetioned by farmers. The centers for shallot production in Papua Province are Kerom, Merauke, Tolikara and Jayawijaya Regencies. Shallot farming is always faced with risks. in the form of a decrease in production due to unpredictable weather factors and attacks by pests and diseases (such as wilt disease). To overcome the problems above, an agricultural instructor is needed who can help farmers in diagnosing pests and diseases of shallot plants. The research aims to determine the role of agricultural instructors for shallot farmers in controlling plant pests. This research was carried out in Arsopura village, Skanto District, Keerom Regency for 6 months from August 2022 to February 2023. This research used the Arithmetic Mean analysis method with average assessment criteria of 1.00-1.66 with categories of No Role, 1.67- 2.33. There were 60 questions asked by the resource person for each indicator, with 17 facilitator indicator questions, 15 motivator questions, 14 educator questions and 15 communicator questions. The results of the research show that agricultural extension workers play a role in controlling pests and diseases in shallot plants. The scores obtained for the facilitator indicator were 2.69, motivator 2.69, educator 2.34, and communicator 2.44, each in the Role category. Agricultural instructors play a very important role and always provide new technologies to increase shallot production, in Arsopura Village, Skanto District, Keerom Regency.

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Ibrahim, Kamal M., W. O. C. Symondson, and J. E. Liddell. "The Ecology of Agricultural Pests: Biochemical Approaches." Journal of Applied Ecology 34, no. 2 (April 1997): 545. http://dx.doi.org/10.2307/2404902.

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Mill, Alan E. "Termites as Agricultural Pests in Amazônia, Brazil." Outlook on Agriculture 21, no. 1 (March 1992): 41–46. http://dx.doi.org/10.1177/003072709202100107.

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This paper presents a preliminary, qualitative assessment of termite damage in agriculture within the Amazonian region. The vast majority of farms are small holdings, of between 10 and 100 hectares, so no quantitative assessment of losses throughout the region has been attempted. A visual assessment suggests that individual crop losses due to termite attack may be as high as 65%. Current chemical control techniques are reviewed.

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Tsitsilas, A., S. Stuckey, A. A. Hoffmann, A. R. Weeks, and L. J. Thomson. "Shelterbelts in agricultural landscapes suppress invertebrate pests." Australian Journal of Experimental Agriculture 46, no. 10 (2006): 1379. http://dx.doi.org/10.1071/ea05137.

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The homogenous nature of agricultural landscapes generally reduces biodiversity of invertebrate species, but this can be partly offset by developing refuges at field margins. In Australia, shelterbelts are widely planted to provide protection for livestock and to counter salinity problems associated with rising water tables. Shelterbelts may also play a role in acting as reservoirs for organisms that are beneficial to pastures, although this has rarely been directly evaluated. We sampled invertebrates along transects running from replicated shelterbelts into pastures, and in glasshouse trials we tested the impact of the beneficial organisms from the shelterbelts on the collected pests. Contrary to popular views, numbers of pest mites and lucerne fleas were low within shelterbelts. Moreover, numbers were typically lower adjacent to shelterbelts compared with >30 m into the pasture, an effect that was much more apparent when shelterbelts carried a groundcover of high (>30 cm) grass. Numbers of predatory mites and spiders were higher in shelterbelts and in adjacent pasture when there was taller grass and higher grass cover in the shelterbelts. Samples of potential predators collected from a shelterbelt were more effective at suppressing pest mite numbers than those collected in pasture. Shelterbelts with ground cover appear to harbour a diversity of beneficial organisms that suppress pest numbers in adjacent pastures.

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Saxena, R. C., and A. A. Barrion. "Biotypes of insect pests of agricultural crops." International Journal of Tropical Insect Science 8, no. 4-5-6 (December 1987): 453–58. http://dx.doi.org/10.1017/s1742758400022475.

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Bonnemain, Jean-Louis. "Aphids as biological models and agricultural pests." Comptes Rendus Biologies 333, no. 6-7 (June 2010): 461–63. http://dx.doi.org/10.1016/j.crvi.2010.04.002.

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Barrio, I. C., R. Villafuerte, and F. S. Tortosa. "Harbouring pests: rabbit warrens in agricultural landscapes." Wildlife Research 38, no. 8 (2011): 756. http://dx.doi.org/10.1071/wr11051.

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Context Warrens are central to rabbit biology and available warren space can set a limit to the number of rabbits living in an area. Therefore, quantifying and analysing the distribution of rabbit warrens is a key step towards the management of the species in agricultural lands where it causes significant damage to crops. Aims The present study investigates the distribution and spatial pattern of wild rabbit (Oryctolagus cuniculus) warrens in an intensively managed agricultural landscape within the rabbit’s native range in semiarid southern Spain, where rabbits constitute an emerging pest problem. Methods All natural rabbit warrens within two sites were mapped, and information on their size, use and protection was recorded. The effects of environmental variables (e.g. habitat features and distances to key resources) in determining warren occurrence were evaluated using binomial generalised linear models (GLM). Key results The main variable explaining warren occurrence was the distance to the nearest neighbouring warren. Habitat variables and the distances to key resources played only a secondary role, and were mainly related to frequent ploughing linked to agricultural practices that prevent warren construction. Conclusions Habitat instability resulting from agricultural practices (i.e. frequent ploughing and intensive human disturbance) promotes warren construction on stable grounds only and partly explains the clumped spatial pattern found. However, warren occurrence in intensively managed agricultural areas seems to be more constrained by the proximity of neighbouring warrens that would facilitate rabbit recolonisation from patches nearby. Despite becoming increasingly scarce as a result of agricultural intensification, these unploughed remnants may act as safe islands for digging warrens. Implications The management of unploughed patches and the connectivity among them in semiarid agroecosystems of southern Spain is therefore of utmost importance to the management of rabbits as an agricultural pest.

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Ellis, J. S., R. Blackshaw, W. Parker, H. Hicks, and M. E. Knight. "Genetic identification of morphologically cryptic agricultural pests." Agricultural and Forest Entomology 11, no. 1 (February 2009): 115–21. http://dx.doi.org/10.1111/j.1461-9563.2008.00420.x.

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Mazzi, D., and S. Dorn. "Movement of insect pests in agricultural landscapes." Annals of Applied Biology 160, no. 2 (February 7, 2012): 97–113. http://dx.doi.org/10.1111/j.1744-7348.2012.00533.x.

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Rano, Saifatul Hossain, Mansura Afroz, and Md Mamunur Rahman. "APPLICATION OF GIS ON MONITORING AGRICULTURAL INSECT PESTS: A REVIEW." Reviews In Food and Agriculture 3, no. 1 (January 5, 2022): 19–23. http://dx.doi.org/10.26480/rfna.01.2022.19.23.

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Agricultural insect pests cause crop yield loss which results in imbalance between the food demand of world population and the global agriculture output. Pest control can be more efficient if it becomes possible to identify the current status of pest timely and take action immediately. In this regard, application of Geographic Information System (GIS) has added a new dimension for pest management. This review paper focused on the implication of GIS technology in insect pest management by facilitating decisions making process, timely planning and getting different information in many specific areas; such as monitoring suitable habitat, foliage damage index, population distribution diversity and migration of insect pests at different aspects. GIS maps, produced by using manual and remotely sensed data with the help of various hardware and software, have facilitated forecasting and early warning of insect outbreaks and their population diversity. So, that it can help researchers and farmers to take proper management planning and decisions, like when and how should they take management and control strategies against any insect pest to save agricultural fields from pest attack or outbreak. Recent advancements in the field of agriculture by using GIS technology have provided ample scope in agriculture for pest monitoring, detection and timely management with high precision and accuracy.

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N, Ramya, and Bhargavi Pasupuleti. "Advantages of Bio-insecticides in Relation to Soil Quality Improvement for Agriculture." International Journal of Agro Nutrifood Practices 1, no. 3 (December 3, 2021): 1–4. http://dx.doi.org/10.36647/ijanp/01.03.a001.

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The use of bio insecticides for the protection of crops certainly contributed to minimizing the losses in yield. The bio insecticides are carefully applied for reducing the population of the insects that damage the crops. Moreover, the advantage of using bio insecticides for agricultural purposes is to improve the growth of the plants and the roots for enhancing the micro flora of the soil and it results in the total production of agriculture. Moreover, they are less toxic than the other conventional pesticides as they do not contaminate the total environment. Bio insecticides are the type of organism that is given to agricultural crops plants for damaging pests. Moreover, they are used in destroying small pests and weeds. Bio insecticides are the biological method of controlling the insects and the pests that are damaging the crops. Keywords : Chronic neurotoxicity, Food chain, nontoxicity .

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Murzabekova, Gulden, Natalya Glazyrina, Anargul Nekessova, Aisulu Ismailova, Madina Bazarova, Nurzhamal Kashkimbayeva, Bigul Mukhametzhanova, and Madina Aldashova. "Using deep learning algorithms to classify crop diseases." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (December 1, 2023): 6737. http://dx.doi.org/10.11591/ijece.v13i6.pp6737-6744.

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<span lang="EN-US">The use of deep learning algorithms for the classification of crop diseases is one of the promising areas in agricultural technology. This is due to the need for rapid and accurate detection of plant diseases, which allows timely measures to be taken to treat them and prevent their spread. One of them is to increase productivity and maintain land quality through the timely detection of diseases and pests in agriculture and their elimination. Traditional classification methods in machine learning and algorithms in deep learning were compared to note the high accuracy in detecting pests and crop diseases. The advantages and disadvantages of each model considered during training were taken into account, and the Inception V3 algorithm was incorporated into the application. They can monitor the condition of crops on a daily basis with the help of new technology-applications on gadgets. Aerial photographs used by research institutes and agricultural grain centers do not show the changes that occur in agricultural grains, that is, diseases and pests. Therefore, the method proposed in this paper determines the types of diseases and pests of cereals through a mobile application and suggests ways to deal with them.</span>

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Shimada, Belmiro Saburo, and Marcos Vinícius Simon. "Problems of chemical control in agriculture: a perspective of agriculture." Colloquim Agrariae 18, no. 3 (November 16, 2022): 60–71. http://dx.doi.org/10.5747/ca.2022.v18.n3.a499.

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Agriculture is important in the food production sector and, to meet all the food demand of the population, the agricultural sector has modernized, using chemical control in agriculture to control pests, diseases and weeds. The objective of this work was to carry out a literature review on the problems of chemical control in agriculture from an agricultural perspective, in order to demonstrate how chemical control affects the agricultural sector. The present study was developed based on the review of literature and relevant research based on data from the years between 2015 to 2021, using articles and data in Portuguese on academic google, using chemical control problems and the perspective of agriculture with agrochemicals as keywords. To ensure the production of crops, crop management must be carried out correctly, and the control of pests, diseases and weeds that affect crops, for this, one of the methods used today is chemical control. With the use of chemical control, it made it possible for agriculture to achieve large productions with the benefits provided by its use in the control of pests, diseases and weeds, but it brought with it some problems in its use, whether in the social, environmental and social spheres. Due to the problems caused by the large use of agrochemicals and the search for sustainable rural development, other alternative methods are adopted in agriculture, such as biological and cultural control, which has brought many benefits, one of which is the reduction of the use of chemical control. In agriculture, reducing costs and helping to maintain the sustainability of the entire agricultural production sector. In this way, the inadequate use of chemical control has brought and brings problems, such as contamination and intoxication in the environment and to human beings, in addition to problems related to resistance to pests, diseases and weeds, making their control more expensive, requiring the adoption of other methods. control methods, such as cultural control and biological control, which have in themselves more sustainable characteristics, thus reducing the use of agrochemicals in agriculture and reducing the problems caused by their use.

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Trofimov, I. A., L. S. Trofimova, E. P. Yakovleva, and E. V. Skripnikova. "Adaptations in agriculture and immunity of agricultural cultures to diseases and pests." Agrarian science 327, no. 2 (2019): 24–28. http://dx.doi.org/10.32634/0869-8155-2019-326-2-24-28.

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Hogsette, Jerome A. "United States Department of Agriculture-Agricultural Research Service research on veterinary pests." Pest Management Science 59, no. 6-7 (2003): 835–41. http://dx.doi.org/10.1002/ps.617.

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Yildirim, Ismet. "Plant Protection Practises and Their Impact on Environment." Journal of Central European Green Innovation 11, no. 1 (June 14, 2023): 25–38. http://dx.doi.org/10.33038/jcegi.3399.

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The world population is increasing by 81 million every year and people need more agricultural production to avoid hunger. Despite modern farming methods, where advanced technologies and new production systems such as soilless agriculture are applied, production seems far from meeting the nutritional needs of people today or in the future. Although phytopathogens, insects and weeds, which cause significant yield and quality losses in agricultural products, are struggled today, it is estimated that the total loss of crops is 36.5% in the world every year due to these pests. Plant protection practices (cultural measures, physical control, legal measures, biological control, chemical control, alternative control) are carried out against pests in order to prevent product yield and quality losses in agriculture. Among these applications, chemical control is the most effective control method against pests, the results of which can be seen in a short time. However, especially in conventional agriculture, irregular and intensive pesticide applications made to protect yield and quality with economic concerns cause environmental pollution and deterioration in soil, water resources and troposphere ecosystems. In this review, the effects of plant protection practices on non-target organisms in different ecosystems are presented.

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Chursin, Oleg. "Device for protecting haylage pits from birds." АгроЭкоИнфо 4, no. 58 (August 31, 2023): 25. http://dx.doi.org/10.51419/202134425.

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The analysis of modern security of agricultural objects from pests is car-ried out. The advantages of the electrophysical method of control and the need to create an effective system for protecting agricultural objects from pests are substantiated. A model of a device for protecting haylage pits from birds is proposed. Keywords: METHOD, INCREASE, PESTS, ELECTROPHYSICAL METHOD, DEVICE FOR PROTECTION OF SAINT PIT

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Carvalho, William D., Elizabete C. Lourenço, Júlia L. Luz, Bruna S. Xavier, Angélica V. Yantén, and Luciana M. Costa. "Giving Wings to Sustainability: Brazil Needs to Consider Bats as Suppressors of Agricultural Pests and Tropical Disease Vectors." Sustainability 16, no. 14 (July 9, 2024): 5858. http://dx.doi.org/10.3390/su16145858.

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Insect-eating bats play a crucial role in agriculture and public health by suppressing populations of agricultural pests and disease vectors. These ecosystem services promoted by insect-eating bats are essential in a world that seeks sustainability in agricultural production and the management of urban areas. Despite Brazil’s status as one of the largest agricultural producers globally, research using insect-eating bats for pest control is lacking. This review underscores the importance of filling this knowledge gap and provides guidelines for future research. Bats exhibit diverse feeding habits and consume significant quantities of insects, including agricultural pests. While studies in the USA and Europe have highlighted insect-eating bats’ role in reducing agricultural losses, research in Brazil is limited. Challenges include the need for more advanced diet analysis techniques, such as DNA metabarcoding, and understanding bat habitat use in agricultural and urban landscapes. Research on natural and artificial roosts’ effectiveness and population dynamics is also essential. Integrating bat conservation into agricultural sustainability requires investment in technological methods, valuation of ecosystem services, population monitoring, habitat use studies and environmental education. Financial incentives and collaboration between sectors are crucial for advancing research and implementing bat-friendly practices in agriculture, ultimately enhancing biodiversity conservation and production sustainability in Brazil.

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Morimoto, Nobuo, Keizi Kiritani, Kohji Yamamura, and Takehiko Yamanaka. "Finding indications of lag time, saturation and trading inflow in the emergence record of exotic agricultural insect pests in Japan." Applied Entomology and Zoology 54, no. 4 (September 20, 2019): 437–50. http://dx.doi.org/10.1007/s13355-019-00640-2.

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Abstract Agricultural imports are the primary pathway for the introduction of exotic insect pests. The invasion records of exotic insect pests are also influenced by the lag time before detection and saturation caused by the limited species pool of potential invaders. We compiled an exhaustive list of exotic insect species in mainland Japan and tried to evaluate the connection between the commodity types of agricultural imports and insect types of agricultural pests, in addition to the effects of lag time and saturation. We found that lag time was prominent when all pest types were merged into one group, whilst saturation always existed when we divided the records into the four agricultural pest types. Saturation was especially prominent in stored product pests because this group contained many cosmopolitan insect pests that could have easily inhabited the newly built mills throughout Japan in the 1950s. We suspect that the saturation effect was masked by admixture amongst pests with different saturation patterns. Our findings indicate that all commodities, i.e. flowers, fruits, vegetables, cereal and timber, contributed to the invasion of pest insects as potential pathways. However, it was unclear if certain items had comparatively greater significance in this process.

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Ma, Li. "Intelligent Insect Trap Lamp." Academic Journal of Science and Technology 7, no. 2 (September 27, 2023): 8–9. http://dx.doi.org/10.54097/ajst.v7i2.11512.

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China is a large agricultural country, with the climate changeable, pests are also more and more on the country's agriculture has a certain impact. At present, most farmers in agriculture use pesticides to exterminate insects, but when pesticides are used in excess, pests will be in a period of time - within the mutation of drug resistance, farmers will increase the amount of pesticide use, which forms a vicious circle, the social and ecological environment brought about by the hazards and even the human health of the major safety hazards. With a new method of extermination instead of pesticides, quickly change the original way of extermination has become a top priority. The "Smart Pest Light" takes into account the use of energy-saving, safe and reliable energy and harmless pest control methods. Widely used in agricultural cultivation can help reduce pesticide residues in fruits and vegetables, reduce the increase of pest resistance, and contribute to the green development of agricultural production.

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Kong, Jianlei, Yang Xiao, Xuebo Jin, Yuanyuan Cai, Chao Ding, and Yuting Bai. "LCA-Net: A Lightweight Cross-Stage Aggregated Neural Network for Fine-Grained Recognition of Crop Pests and Diseases." Agriculture 13, no. 11 (October 31, 2023): 2080. http://dx.doi.org/10.3390/agriculture13112080.

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In the realm of smart agriculture technology’s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector. Within this context, the precise identification of pests and diseases using unmanned robotic systems assumes a crucial role in ensuring food security, advancing agricultural production, and maintaining food reserves. Nevertheless, existing recognition models encounter inherent limitations such as suboptimal accuracy and excessive computational efforts when dealing with similar pests and diseases in real agricultural scenarios. Consequently, this research introduces the lightweight cross-layer aggregation neural network (LCA-Net). To address the intricate challenge of fine-grained pest identification in agricultural environments, our approach initially enhances the high-performance large-scale network through lightweight adaptation, concurrently incorporating a channel space attention mechanism. This enhancement culminates in the development of a cross-layer feature aggregation (CFA) module, meticulously engineered for seamless mobile deployment while upholding performance integrity. Furthermore, we devised the Cut-Max module, which optimizes the accuracy of crop pest and disease recognition via maximum response region pruning. Thorough experimentation on comprehensive pests and disease datasets substantiated the exceptional fine-grained performance of LCA-Net, achieving an impressive accuracy rate of 83.8%. Additional ablation experiments validated the proposed approach, showcasing a harmonious balance between performance and model parameters, rendering it suitable for practical applications in smart agricultural supervision.

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Bozsik, András. "Remembrance to László Huzián (1923-1996)." Acta Agraria Debreceniensis, no. 39 (November 10, 2010): 5–11. http://dx.doi.org/10.34101/actaagrar/39/2730.

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László Huzián was a determining personality of the higher education of Hungarian crop protection more precisely that of the agricultural entomology. Training of the scientific and extension specialists of Hungarian agricultural entomology from 1960 till 1983 would have been unimaginable without him. He was the builder of the agricultural entomology school established by Gusztáv Adolf Manninger, the developer of the training’s essential and organisational standard, who sacrificed his life’s work for developing the crop protection. He found, characterized many pests (E.g. Scrobipalpa ocellatella, Lixus scabricollis, Tanymecus palliatus, Mesagroicus obscurus) new for the Hungarian fauna and worked out a control technology against them. It is important to mention his activity in creating the forecasting of the big field crop animal pests mainly that of the sugar beet pests. One top of his educational work was the wonderful manual „Agricultural Entomology” written with Sándor Bognár in 1979. László Szalay-Marzsó said of this book that it was impossible to write a better one. He has been right. The magnificent crop protection library and the unique richness and accuracy of the animal demonstration material (slides, pictures, preparates, showcases, etc.) established at the Gödöllő University of Agriculture can be thanked to his extraordinary systematizing mentality and tireless efforts.

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Eman Mohamed Taher Azize, Dalia Abdulelah Mohammed, Aulfat T, Eman Mohamed Taher Azize, Dalia Abdulelah Mohammed, Aulfat T. "Biological Control of Insect Pests by Bacterial Species Present in the Environment: المكافحة الحيوية للآفات الحشرية بفعل أنواع بكتيرية متواجدة في البيئة." Journal of agricultural, environmental and veterinary sciences 5, no. 2 (June 29, 2021): 47–28. http://dx.doi.org/10.26389/ajsrp.v070221.

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Because of the severe damage caused by insect pests in agricultural fields, which cost billions of dollars annually, countries used chemical pesticides to eliminate these pests. The continuous use of chemical pesticides led to many environmental impacts, besides the emergence of resistance to insect pests. Therefore, it was necessary to search for an effective treatment for insect pest problems that was environmentally friendly and safe for human health. Biological control of insect pests has gained considerable importance in agricultural fields for its efficiency and safety for humans and other non- target organisms. In addition to its natural presence in the environment, cheaper cost, and more environmentally friendly, And a better alternative to synthetic chemical pesticides as well as being environmentally safe, they not only help establish food security by fighting against insect pests but also ensure food safety, they have enormous potential for achieving agricultural sustainability and environmental safety. In this review, we will highlight the definition and classification of insect pests, microbial pesticides. Besides, the advantages and disadvantages of these kinds of pesticides. We will also focus on the most effective bacterial species used in the production of pesticides and protein toxins that kill insect pests, their mechanism of action, method of marketing, and application to insect pests. We have looked at future research in eradicating insect pests.

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Domingues, Tiago, Tomás Brandão, and João C. Ferreira. "Machine Learning for Detection and Prediction of Crop Diseases and Pests: A Comprehensive Survey." Agriculture 12, no. 9 (September 1, 2022): 1350. http://dx.doi.org/10.3390/agriculture12091350.

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Considering the population growth rate of recent years, a doubling of the current worldwide crop productivity is expected to be needed by 2050. Pests and diseases are a major obstacle to achieving this productivity outcome. Therefore, it is very important to develop efficient methods for the automatic detection, identification, and prediction of pests and diseases in agricultural crops. To perform such automation, Machine Learning (ML) techniques can be used to derive knowledge and relationships from the data that is being worked on. This paper presents a literature review on ML techniques used in the agricultural sector, focusing on the tasks of classification, detection, and prediction of diseases and pests, with an emphasis on tomato crops. This survey aims to contribute to the development of smart farming and precision agriculture by promoting the development of techniques that will allow farmers to decrease the use of pesticides and chemicals while preserving and improving their crop quality and production.

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Bhati, Neha. "Fourier Transform Driven Bioacoustics for Frequency-Based Pest Deterrence in Sustainable Agriculture." Journal of Innovative Image Processing 5, no. 3 (September 2023): 290–306. http://dx.doi.org/10.36548/jiip.2023.3.005.

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The focus of this research is on using bioacoustics for frequency-based pest deterrence in sustainable agriculture, with the Fourier transform as the driving force. The critical need for new and improved methods of pest control in agricultural settings is addressed. This study, which makes use of cutting-edge technology, investigates how the Fourier Transform might be used as a useful instrument in the fight against pests. This research makes use of a cutting-edge algorithm for pest control; it's based on Fourier Transform bioacoustic analysis. By using the "Insect Bioacoustic Signals (IBS) Dataset," this study reveals the algorithm's effectiveness in recognising and managing pests, as indicated by a remarkable classification accuracy of 93%. This study makes important contributions to the growing body of sustainable agriculture knowledge and has far-reaching consequences for the agricultural sector. A revolutionary new method of pest control is presented, with the potential to increase agricultural output and sustainability while decreasing crop losses. Specialised tools and libraries such as the Fast Fourier Transform (FFT) method from the NumPy toolkit for spectral analysis, Scikit-learn for machine learning approaches, and Librosa for audio signal processing, were used in this work to produce these encouraging outcomes. In conclusion, this research highlights the promise of bioacoustics based on the Fourier Transform to usher in a new era of environmentally responsible farming by effectively discouraging pests.

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O'Gorman, Emily, and Thom van Dooren. "The Promises of Pests: Wildlife in Agricultural Landscapes." Australian Zoologist 39, no. 1 (January 2017): 81–84. http://dx.doi.org/10.7882/az.2016.023.

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Manczinger, L. "BIOLOGICAL CONTROL OF AGRICULTURAL PESTS BY FILAMENTOUS FUNGI." Acta Microbiologica et Immunologica Hungarica 46, no. 2-3 (May 1999): 259–67. http://dx.doi.org/10.1556/amicr.46.1999.2-3.16.

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Trici, Abdul Nasser, Bassam Bayaa, and Mustapha El Bouhssini. "Role of entomopathogenic fungi in controlling agricultural pests." Arab Journal of Plant Protection 36, no. 3 (December 2018): 176–91. http://dx.doi.org/10.22268/ajpp-036.3.176191.

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Van Vuren, D., and K. S. Smallwood. "Ecological Management of Vertebrate Pests in Agricultural Systems." Biological Agriculture & Horticulture 13, no. 1 (January 1996): 39–62. http://dx.doi.org/10.1080/01448765.1996.9754765.

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Journal articles on the topic 'Agricultural pests'

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