Relevant bibliographies by topics / Sustainable Crop Planning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Sustainable Crop Planning'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Sustainable Crop Planning"

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Siptits, Stanislav Ottovich. "ALGORITM FOR PLANNING EFFICIENT AND SUSTAINABLE CROP PRODUCTION." Economy, labor, management in agriculture, no. 12 (2020): 29–37. http://dx.doi.org/10.33938/2012-29.

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Magos Brehm, J., S. Kell, I. Thormann, H. Gaisberger, M. E. Dulloo, and N. Maxted. "New tools for crop wild relative conservation planning." Plant Genetic Resources: Characterization and Utilization 17, no. 2 (January 15, 2019): 208–12. http://dx.doi.org/10.1017/s1479262118000527.

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AbstractCrop wild relatives (CWR) are a vital source of traits for crop improvement – therefore, conserving CWR diversity is critical to ensure food, nutrition and economic security. Efficient CWR conservation planning is a critical first step to maintain this natural resource for future use. The development of National Strategic Action Plans (NSAPs) for the conservation and sustainable use of CWR is an effective means of conservation planning and also plays an important role in sensitizing policy makers and other stakeholders to the importance of CWR. Tools to guide and facilitate countries in CWR national conservation planning and NSAP development have been prepared, namely: an ‘Interactive Toolkit for CWR Conservation Planning’, a ‘Template for the Preparation of a NSAP for the Conservation and Sustainable Use of CWR’, a ‘Template for the Preparation of a Technical Background Document for a NSAP for the Conservation and Sustainable Use of CWR’, a ‘CWR Checklist and Inventory Data Template’ and an ‘Occurrence Data Collation Template’. In this short communication, we briefly explain what these tools are, how they were developed, how they can be used and where they can be found.
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Gurav, Jyotiba B., and D. G. Regulwar. "Multi-objective fuzzy optimization for sustainable irrigation planning." H2Open Journal 3, no. 1 (January 1, 2020): 373–89. http://dx.doi.org/10.2166/h2oj.2020.032.

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Abstract The objective of the present work is to determine an optimal cropping pattern under uncertainty, which maximizes four objectives simultaneously, including net benefits (NBF), crop production (CPD), employment generation (EGN) and manure utilization (MUT). Except the objective of maximizing the NBF, the other objectives are related to sustainability. To deal with uncertainty, a multi-objective fuzzy linear programming (MOFLP) model has developed along with fuzziness in decision parameters (objective function coefficient, cost coefficients, technological coefficients and resources) and decision variables (area to be irrigated under each crop in each season) and applied the same to Jayakwadi Project Stage-I, Maharashtra, India. The present study is in the form of a successful attempt to deal with irrigation planning associated with sustainability and uncertainty.
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Hajimirzajan, Amir, Mohammadali Vahdat, Ahmad Sadegheih, Elham Shadkam, and Hamid El Bilali. "An integrated strategic framework for large-scale crop planning: sustainable climate-smart crop planning and agri-food supply chain management." Sustainable Production and Consumption 26 (April 2021): 709–32. http://dx.doi.org/10.1016/j.spc.2020.12.016.

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Alfandari, Laurent, Agnès Plateau, and Xavier Schepler. "A branch-and-price-and-cut approach for sustainable crop rotation planning." European Journal of Operational Research 241, no. 3 (March 2015): 872–79. http://dx.doi.org/10.1016/j.ejor.2014.09.066.

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Nosheen, Shaista, Iqra Ajmal, and Yuanda Song. "Microbes as Biofertilizers, a Potential Approach for Sustainable Crop Production." Sustainability 13, no. 4 (February 9, 2021): 1868. http://dx.doi.org/10.3390/su13041868.

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Continuous decline of earth’s natural resources and increased use of hazardous chemical fertilizers pose a great concern for the future of agriculture. Biofertilizers are a promising alternative to hazardous chemical fertilizers and are gaining importance for attaining sustainable agriculture. Biofertilizers play a key role in increasing crop yield and maintaining long-term soil fertility, which is essential for meeting global food demand. Microbes can interact with the crop plants and enhance their immunity, growth, and development. Nitrogen, phosphorous, potassium, zinc, and silica are the essential nutrients required for the proper growth of crops, but these nutrients are naturally present in insolubilized or complex forms. Certain microorganisms render them soluble and make them available to the plants. The potential microbes, their mode of action, along with their effect on crops, are discussed in this review. Biofertilizers, being cost effective, non-toxic, and eco-friendly, serve as a good substitute for expensive and harmful chemical fertilizers. The knowledge gained from this review can help us to understand the importance of microbes in agriculture and the ways to formulate these microbes as biofertilizers for sustainable crop production.
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Nethononda, L. O., J. J. O. Odhiambo, and D. G. Paterson. "Indigenous Knowledge of Climatic Conditions for Sustainable Crop Production under Resource-Poor Farming Conditions Using Participatory Techniques." Sustainable Agriculture Research 2, no. 1 (September 20, 2012): 26. http://dx.doi.org/10.5539/sar.v2n1p26.

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<span style="font-family: Times New Roman; font-size: small;"> </span><p>Rambuda irrigation scheme is situated in Vhembe District of Limpopo Province in South Africa. It was established in 1952 and farmers do not have access to recorded climatic information. Farmers are growing crops on a trial and error basis, hence low yields and crop loses. The objective of the study was to investigate indigenous knowledge of climatic conditions relevant for crop production using participatory techniques. Situation analysis was conducted to gain information on factors influencing crop choice. Participatory exercise was conducted with 33 of 104 of plot-holders. Farmers could identify climatic factors important for crop production and those limiting to crop performance. Hot, dry conditions during August to October and January months were limiting to crops, particularly sweet potato production. The results showed that indigenous knowledge of climate needs to be considered during agricultural development planning and scientists need to investigate linkages between modern agro-meteorology and indigenous knowledge.</p><span style="font-family: Times New Roman; font-size: small;"> </span>
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GOURANGA KAR and ASHWANI KUMAR. "Agro climate characterization for sustainable rainfed crop planning in KBK districts of Orissa." Journal of Agrometeorology 9, no. 2 (December 1, 2007): 185–95. http://dx.doi.org/10.54386/jam.v9i2.1127.

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Shah, Farooq, and Wei Wu. "Soil and Crop Management Strategies to Ensure Higher Crop Productivity within Sustainable Environments." Sustainability 11, no. 5 (March 11, 2019): 1485. http://dx.doi.org/10.3390/su11051485.

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The rising population and reduction in the amount of land and some other resources have created tremendous pressure on current agricultural producers to meet the increasing food demands. To cope with this challenge, certain key inputs, such as fertilizers and other chemicals, are overused, which are worsening the surroundings. This intensive agricultural production without adherence to ecological sustainability has led to declining soil health, land degradation, and severe environmental problems. So, future efforts to feed the growing population should aim for greater agricultural production within sustainable environments. In this regard, innovative steps are needed, as business-as-usual policies lack the potential to cope with these challenges. The concept of agricultural sustainability and various soil and crop management strategies (SCMS) that have been designed to optimize crop yield under sustainable environmental conditions are discussed, including nutrient management, site specific nutrient management (SSNM), integrated nutrient management (INM), integrated soil fertility management (ISFM), integrated soil-crop system management (ISSM), ridge-furrow mulching systems (RFMS), sustainable water management (SWM), conservation agriculture (CA), sustainable land management (SLM), vertical/sky farming, and integrated crop management, and breeding strategies as well as other approaches combined with technological and behavioural changes. The present review suggests that a sustainable production system can be developed by combining the multifaceted efforts under SCMS practices with short- and long-term preventive measures. Reducing chemicals’ usage, such as that of fertilizers and pesticides, plus improvements in the crop input use efficiency could minimize greenhouse gases emissions while protecting the environment. Sustainable agriculture holds promise for humankind and the planet Earth, and it can be successful if all developed and developing nations stand together to seek ‘our common future’ to produce more food while generating less environmental pressure.
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GHOSH, R. K., A. GHOSH, D. MONDAL, S. KANTHAL, and M. K. BHOWMICK. "Critical crop-weed competition - A pivotal factor for annual planning of weed pest management towards sustainable crop productivity." Journal of Crop and Weed 16, no. 3 (January 1, 2020): 228–37. http://dx.doi.org/10.22271/09746315.2020.v16.i3.1392.

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Dissertations / Theses on the topic "Sustainable Crop Planning"

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Mario, Benini. "Improving Decision Making in Real-world Applications by Solving Combinatorial Optimization Problems." Doctoral thesis, Università di Siena, 2022. https://hdl.handle.net/11365/1221594.

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The motivation for this work is to study complex real-world scenarios and provide tools that can actually improve decision-making in those problems. To do so, we mainly adopt techniques from the fields of Operations Research and Combinatorial Optimization. In this dissertation, we focus on three real-world applications from different industries that can be modeled as combinatorial optimization problems and address them with operations research techniques. The dissertation is divided in chapters, each of which is related to a different topic. In Chapter 1, a problem concerning the transportation of biological samples from draw centers to a main laboratory for analysis is presented. The problem arises from a healthcare application in Bologna, Italy, where the healthcare authority decided to centralize the analysis of all biological samples of the area to a main laboratory, in order to exploit economies of scales and reduce the costs for samples’ analysis. Of course, such an improvement goal also created a new complex problem: all the samples must be transported from draw centers to the main lab. A fleet of vehicle is available for the transportation and must collect the samples from draw centers during given times of the day and deliver them within a certain time, since samples are perishable. Vehicles can also exploit the existence of dedicated centers that can extend the lifespan of the samples and where samples can be transferred from one vehicle to another. It is clear from this brief description how hard it could be to decide which is the routing of all the vehicles which minimizes the traveling costs while delivering all samples on time. For this problem we developed different mixed integer linear programming models, metaheuristic algorithms, and grouping policies for the samples that are able to tackle the complexity of the problem and improve routing decisions. All methods have been tested through an extensive computational campaign using real-world data, showing the effectiveness of the proposed approaches. In Chapter 2, a problem related to the agricultural industry is presented. The problem arises from a real-world application in Italy and it is that of planning the use of the available land of a farm for a given number of years, given a set of crops that can be grown. The objective is to maximize the farmer’s profit, but the farmer is subject to several rules both from an agronomic and from a regulation point of view. In fact, many constraints exist regarding agronomic principles, such as maximum replanting, botanical family constraints and crop rotation issues. One of the goals of this work is indeed that of evaluating the risks and benefits of following or not the best practices regarding crop rotation issues in the Mediterranean pedo-climatic context. Furthermore, we want to evaluate the effectiveness of public and private initiatives regarding sustainable agriculture. In fact, it is more and more important nowadays to face these challenges in the food supply chain, which is one of the most discussed industries when it comes to sustainability. In particular, we analyze two different initiatives, namely the Common Agricultural Policy by the European Union and “La Carta del Mulino” by Barilla Group S.p.A.. Both initiatives introduce economic incentives for the farmers following virtuous behaviors from a sustainability point of view. Practically, these behaviors are constraints increasing the complexity of the problem and the difficulty in the decision-making process. For this problem, we will give a formal characterization and study its complexity, also analyzing special cases. We will also present a network-flow based model to solve a special case of the problem and integer linear programming models developed to solve three variants accounting for different sustainability scenarios. Real-world data from 23 Italian farms were used in an extensive computational campaign. The analysis of the results shows that the models can be helpful tools for farmers to plan their production and for authorities to evaluate the effectiveness (and efficiency) of their sustainability initiatives. In Chapter 3, we discuss a problem concerning the sequencing of unreliable jobs on parallel machines. Even if the problem is not taken from a specific application, it may have several applications in real-world scenarios, such as in manufacturing and planning of complex computations on multi-processors computers. In this problem, we have n unreliable jobs providing a reward when successfully completed, but each job has a probability of not being carried out. We have m parallel identical machines at our disposal, and we want to schedule the jobs on the machines in order to maximize the total expected reward. To increase the probability of completing the jobs, we create m copies of each job and schedule each copy on a different machine. For this problem, we will present a complexity analysis showing that the problem is NP-complete for two machines. For the problem with two machines, we derived some theoretical properties and developed a quadratic integer programming model, a tabu search algorithm, and an upper bound based on the Three-Dimensional Assignment problem. A computational campaign on different sets of instances shows that the tabu search outperforms the model. Then we focused on the general case with m machines. In particular, we developed several heuristics and proved some theoretical results, including the worst case performance guarantee of two heuristics. We also devised a generalized tabu search algorithm and a new, improved, upper bounding scheme based on a relaxation of the problem. Computational experiments are performed for the new methods on the problems with two and three machines. The results show that good optimality gaps are reached on all the instances.
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TAMAGNONE, PAOLO. "Progress in planning mitigation and adaptation strategies driven by indigenous knowledge and numerical modelling to face hydrometeorological hazards in the Sahel." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2912982.

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OLIVEIRA, Deumara Galdino de. "O planejamento das rota??es de culturas agr?colas e tr?nsito animal utilizando programa??o inteira bin?ria." Universidade Federal Rural do Rio de Janeiro, 2017. https://tede.ufrrj.br/jspui/handle/jspui/2406.

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Submitted by Celso Magalhaes (celsomagalhaes@ufrrj.br) on 2018-09-03T15:24:29Z No. of bitstreams: 1 2017 - Deumara Galdino de Oliveira.pdf: 1019700 bytes, checksum: 4721a816da519b1d051c792477ad01f0 (MD5)
Made available in DSpace on 2018-09-03T15:24:29Z (GMT). No. of bitstreams: 1 2017 - Deumara Galdino de Oliveira.pdf: 1019700 bytes, checksum: 4721a816da519b1d051c792477ad01f0 (MD5) Previous issue date: 2017-01-19
The sustainability in agriculture can be hampered by inadequate management, such as in the practice of monocultures, or by degradation of pastures. In both situations, the productivity drops. In contrast, the production system based on the adoption of Crop-Livestock Integration rotation of crops has many benefits, such as the diversified food production, improvement of the physical, chemical and biological soil properties, increased stability production, replenishment of organic matter, reducing costs of agricultural activity due to the optimization of the use of inputs, control weeds, pests and diseases. It is noted the need for planning actions that have to be implemented in the adoption of this management, because the system of production based on the ILP is complex, in order for the framer to obtain success. The objective of this thesis is to develop and to implement a linear programming model (PL) that will provide as a result a schedule with the best selection of crops in each glebe per period and with the greatest weight gain of each animal. As well as in other areas, the PL in agriculture aims to obtain a solution that provides the best efficiency in the use of resources, since they are increasingly scarce. Thus, it is important to search for solutions that provide as a result the ideal combination between them and that will lead to better performances in agriculture, generating higher productivity and profitability. The linear programming model was developed from empirical work conducted by Alvarenga and Neto (2008) at Embrapa Maize and Sorghum research center (Sete Lagoas, MG) in an area of 24 hectares. For the implementation of the computational model data on agricultural suitability and weight gain of the animal in each period and in each glebe were needed. In order to test the mathematical model developed, values for agricultural suitability and of weight gain of animal were generated at random using the solver of MATLAB 7.4. With this, it was possible to perform the implementation of the computational linear programming model in MATLAB. There were conducted two trials; the first considering four periods, four tracts and transit of two animals, and the second with ten periods, four tracts and transit of three animals. The results show that the linear programming model is consistent with the empirical work conducted by Alvarenga and Neto (2008). The linear programming model satisfies all the restrictions imposed, maximizes the weight gain of each animal and provides the best selection of crops
A sustentabilidade na agropecu?ria pode ser prejudicada pelo manejo inadequado como a pr?tica da monocultura ou pela degrada??o das pastagens. Em ambas situa??es, a produtividade cai. Em contrapartida, o sistema de produ??o baseado na ado??o da Integra??o Lavoura-Pecu?ria (ILP) apresenta diversos benef?cios, tais como: a produ??o diversificada de alimentos, a melhoria das condi??es f?sicas, qu?micas e biol?gicas do solo, o aumento da estabilidade da produ??o, a reposi??o de mat?ria org?nica, a redu??o de custos da atividade agr?cola em virtude da otimiza??o do uso dos insumos, controle de plantas daninhas, pragas e doen?as. Observa-se a necessidade de um planejamento das a??es a serem implementadas na ado??o desse manejo, pois esse sistema de produ??o baseado na ILP ? complexo, a fim de que o produtor obtenha ?xito em sua condu??o. O objetivo da tese ? desenvolver e implementar um modelo de programa??o linear (PL) que forne?a como resultado um cronograma com a melhor sele??o de cultivos em cada gleba por per?odo e com o maior ganho de peso de cada animal. Assim como nas outras ?reas, a PL na agropecu?ria visa obter uma solu??o que apresente a melhor efici?ncia no uso dos recursos, uma vez que os mesmos est?o cada vez mais escassos. Dessa forma, ? relevante a busca por solu??es que forne?am como resultado a combina??o ideal entre os mesmos que conduza a melhores desempenhos na agropecu?ria, gerando maior produtividade e rentabilidade. O modelo de programa??o linear foi desenvolvido a partir do trabalho emp?rico realizado por Alvarenga e Neto (2008) implantado na Embrapa Milho e Sorgo (Sete Lagoas, MG) em uma ?rea de 24 hectares. Para a implementa??o computacional do modelo s?o necess?rios os dados sobre aptid?o agr?cola e ganho de peso do animal em cada per?odo e em cada gleba. A fim de testar o modelo matem?tico desenvolvido, gerou-se valores para aptid?o agr?cola e para o peso ganho pelo animal de forma aleat?ria utilizando o solver do MATLAB 7.4. Com isso, pode-se realizar a implementa??o computacional do modelo de programa??o linear no MATLAB. Foram realizados dois ensaios num?ricos, o primeiro considerando quatro per?odos, quatro glebas e tr?nsito de dois animais e o segundo com dez per?odos, quatro glebas e tr?nsito de tr?s animais. Os resultados mostram que o modelo de programa??o linear ? compat?vel com o trabalho emp?rico realizado por Alvarenga e Neto (2008). O modelo de programa??o linear satisfaz todas as restri??es impostas, maximiza o ganho de peso de cada animal e fornece a melhor sele??o de cultivos.
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Bedingham, Hilton. ""Tourism is white people's crap" : communicative rationality, humanism and sustainable tourism development." Thesis, 1998. http://hdl.handle.net/10413/2331.

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Books on the topic "Sustainable Crop Planning"

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author, Suresh Babu V., Chandra K. Suman author, and Ravindra Chary G. author, eds. Integrated land use planning for sustainable agriculture and rural development. Waretown, NJ: Apple Academic Press, 2015.

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Mark, Redwood, ed. Agriculture in urban planning: Generating livelihoods and food security. Sterling, VA: Earthscan, 2008.

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Venkateswarlu, J. Rainfed agriculture in India: Research and development scenario. New Delhi: Directorate of Information and Publications of Agriculture, Indian Council of Agricultural Research, 2003.

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Symposium on Eco-regional Approaches in Agricultural Research (1994 ISNAR). Eco-regional approaches for sustainable land use and food production: Proceedings of a Symposium on Eco-regional Approaches in Agricultural Research, 12-16 December 1994, ISNAR, The Hague. Dordrecht: Kluwer Academic Publishers in cooperation with International Potato Center (CIP), 1995.

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Roggema, Rob. Sustainable Urban Agriculture and Food Planning. Taylor & Francis Group, 2019.

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Roggema, Rob. Sustainable Urban Agriculture and Food Planning. Taylor & Francis Group, 2016.

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Roggema, Rob. Sustainable Urban Agriculture and Food Planning. Taylor & Francis Group, 2016.

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Sustainable Urban Agriculture and Food Planning. Taylor & Francis Group, 2016.

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Redwood, Mark. Agriculture in Urban Planning. Taylor & Francis Group, 2011.

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Redwood, Mark. Agriculture in Urban Planning: Generating Livelihoods and Food Security. Taylor & Francis Group, 2012.

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Book chapters on the topic "Sustainable Crop Planning"

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Sahoo, Antara, Aniket Rathi, Shambhavi Bashishth, Sanghamitra Roy, and Chittaranjan Pradhan. "Predictive Farmland Optimization and Crop Monitoring Using Artificial Intelligence Techniques." In Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities, 79–121. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22922-0_4.

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Suárez, Hector Leonel Afanador, Gina Paola González Angarita, Leila Nayibe Ramírez Castañeda, and Pedro Pablo Cardoso Castro. "Illicit Crops, Planning of Substitution with Sustainable Crops Based on Remote Sensing: Application in the Sierra Nevada of Santa Marta, Colombia." In Climate Emergency – Managing, Building , and Delivering the Sustainable Development Goals, 483–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79450-7_36.

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Kordej-De Villa, Željka, and Ivan Šulc. ", Tourism and the UN Sustainable Development : The Case of Croatia." In Future City, 341–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71819-0_19.

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AbstractThe chapter analyses the quality of managing cultural heritage sites in Croatia, particularly those inscribed to the UNESCO World Heritage List, which are under growing pressure of overtourism. The analysis was performed by using qualitative and quantitative data on visitors of the UNESCO heritage and the most important impacts of tourism on destination areas, compared to Sustainable Development Goals (SDGs) focused on tourism and heritage. The study investigates the state of safeguarding, protecting and valorizing cultural heritage in relevant documents and in practice, focusing on Dubrovnik as a case study area. The analysis revealed the insufficient plans for managing UNESCO World Heritage Sites in relevant documents and in the field, as well as lack of monitoring of tourism impacts. The selected cases in Croatia confirmed that the most common way for heritage valorization is within the framework of tourism (McKercher and du Cros, Cultural tourism. The partnership between tourism and cultural heritage management, Routledge, New York/London, 2009), where heritage is most often associated with sustainable tourism. However, desirable regenerative tourism, that repairs the harm that has already been done, is still far from the present situation and it will require much effort in its planning, designing tools for its implementation and its management to achieve it in the near future.
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"Planning crop wild relatives and wild food plant conservation." In Voluntary Guidelines for the Conservation and Sustainable Use of Crop Wild Relatives and Wild Food Plants, 25–46. UN, 2018. http://dx.doi.org/10.18356/e014475f-en.

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"Soil and Crop History in Dominant Agro-Ecosystems of the Indo-Gangetic Plains, India." In Integrated Land Use Planning for Sustainable Agriculture and Rural Development, 101–22. Apple Academic Press, 2015. http://dx.doi.org/10.1201/b18816-12.

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"Development Of A Web Gis Based Decision Support System For Agriculture Crop Monitoring System." In Integrated Land Use Planning for Sustainable Agriculture and Rural Development, 165–74. Apple Academic Press, 2015. http://dx.doi.org/10.1201/b18816-16.

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Bhattacharyya, T., P. Chandran, S. Ray, P. Tiwary, C. Mandal, and Dipak Sarkar. "Soil and Crop History in Dominant Agro-Ecosystems of the Indo-Gangetic Plains, India." In Integrated Land Use Planning for Sustainable Agriculture and Rural Development, 57–77. Apple Academic Press, 2015. http://dx.doi.org/10.1201/b18816-7.

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Ghosh, Parmita, and Siva P. Kumpatla. "GIS Applications in Agriculture." In Geographic Information System [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104786.

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Technological innovations during the recent centuries have enabled us to significantly boost agricultural production to feed the rapidly increasing global population. While advances in digital technologies triggered the onset of the fourth revolution in agriculture, we also have several challenges such as limited cropland, diminishing water resources, and climate change, underscoring the need for unprecedented measures to achieve agricultural resilience to support the world population. Geographic information system (GIS), along with other partner technologies such as remote sensing, global positioning system, artificial intelligence, computational systems, and data analytics, has been playing a pivotal role in monitoring crops and in implementing optimal and targeted management practices towards improving crop productivity. Here we have reviewed the diverse applications of GIS in agriculture that cover the entire pipeline from land-use planning to crop-soil-yield monitoring to post-harvest operations. GIS, in combination with digital technologies and through new and emerging areas of applications, is enabling the realization of precision farming and sustainable food production goals.
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Ankomah, Emmanuel Kofi. "A Comparison of Population Growth Rate and the Rate of Increase in Food Crop Production in Africa." In Handbook of Research on Sustainable Supply Chain Management for the Global Economy, 260–80. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4601-7.ch014.

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Millions of people in Africa require sufficient food for healthy living. However, inefficient farming practices are making a lot more people hungry and poor. Simultaneously, the population keeps on increasing. The legitimate question that this study seeks to address is how the production capacity can meet the needs of the increasing population in the future. The chapter examines the increase in population growth and its consequences on food production with the consideration of the theory of population growth by Thomas Malthus. The result of time series data analyzed shows that population growth is increasing at a high rate whereas food production growth is increasing at a decreasing rate. The trend seems to confirm that the Malthus population theory is still relevant in Africa. The study recommends that stewards and policymakers invest immensely in agriculture to improve technology, skills, methods, and know-how to boost food production and invest in women in adopting family planning to decrease population growth for the solution of food deficiency.
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Doliente, Stephen S., and Sheila Samsatli. "Multi-objective spatio-temporal optimisation for simultaneous planning, design and operation of sustainable and efficient value chains for rice crop." In Computer Aided Chemical Engineering, 1453–58. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-818634-3.50243-5.

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Conference papers on the topic "Sustainable Crop Planning"

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Siptits, Stanislav O. "Algorithm For Planning Efficient And Sustainable Crop Production." In Conference on Land Economy and Rural Studies Essentials. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.07.21.

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Saranya, S., and T. Amudha. "Crop planning optimization with social spider optimization algorithm." In 2017 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2017. http://dx.doi.org/10.1109/iss1.2017.8389281.

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Kumar, Kiran, R. Patil, and M. G. Chandrakanth. "Crop Water Planning and Irrigation Efficiency in Rainfed Agriculture." In Integrated and Sustainable Water Management: Science and Technology. Geological Society of India, 2016. http://dx.doi.org/10.17491/cgsi/2016/95948.

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Ramachandrappa, B. K., and M. N. Thimmegowda. "Soil Conservation, Crop Water Planning and its Use Efficiency in Rainfed Agriculture." In Integrated and Sustainable Water Management: Science and Technology. Geological Society of India, 2016. http://dx.doi.org/10.17491/cgsi/2016/95946.

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Garcia-Mayor, Clara, and Gregorio Canales Martínez. "Poly-nuclear urban system, landscape identity and economic development: The Vega Baja of the Segura River (Alicante) case study." In 24th ISUF 2017 - City and Territory in the Globalization Age. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/isuf2017.2017.5933.

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Abstract:
In the last twenty years, the territory that comprises the Vega Baja of the Segura River (Alicante province) has experienced a drastic change in terms of how space is occupied. This is observable in the introduction of new uses that modify the configuration patterns of traditional settlements. This paper presents a typology characterization and classification of the evolution of traditional rural settlements which includes new emerging patterns of urban settlements in the Vega Baja’s context. This process has significantly impacted the landscape and the environment, as well as affecting how the local population relates to their living environment. The alluvial territory of the Vega Baja of the Segura River has been historically developed as a result of the expansion of its functional network systems —water canals, pathways, and settlements— which enable the occupation and colonization of extensive areas of marshy land. The territorial organization of this study’s area, developed over the course of eleven centuries, remained relatively stable until the 1990’s. However, in the last twenty-five years, the local economy has undergone restructuring, producing a mind-shift among local communities and resulting in a meaningful loss of crop production surface to make way for town-planning developments. The geographical area of this study is characterized by its intensive irrigated agricultural pattern. It is one of the last remaining Huerta European landscapes identified in the Dobris Report. Therefore, a more comprehensive and integrated approach to preserve identity and local cultural values is required so as to propose a sustainable economic development framework.References Antrop, M. (2005) ‘Why landscapes of the past are important for the future’, Landscape and Urban Planning 70, 21-34. Canales Martínez, G. y Ponce Sánchez, M. D. (2016) Pareceres sobre la Huerta del Bajo Segura. El poder de la Identidad y la Cultura en la valoración del Paisaje (Universidad de Alicante, Alicante). García-Mayor, C. y Canales Martínez, G. (2015) La Huerta de Orihuela en el Bajo Segura. Elementos funcionales en la construcción del paisaje (Universidad de Alicante, Alicante). García-Mayor, C. y Pérez Payá, M. D. (2014) La Huerta de la Vega Baja del río Segura: paisaje e identidad territorial (Lulu Press, Inc.) Gormsen E. (1981) ‘The spatio-temporal development of international tourism: Attempt at a centre-peripherary model’, Etudes &amp; Mémoires 55, 150-70. VV.AA. (2011) ‘Urbanismo expansivo de la utopía a la realidad’, XXII Congreso Geógrafos Españoles AGE (Asociación de Geógrafos Españoles, Universidad de Alicante, Alicante)
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ÁVILA CERÓN, Carlos Alberto, Ignacio DE LOS RÍOS-CARMENADO, Maria RIVERA, and Susana MARTÍN. "RURAL DEVELOPMENT PLANNING IN COLOMBIA’S CONFLICT ZONES: A PROPOSAL FROM THE WWP MODEL." In Rural Development 2015. Aleksandras Stulginskis University, 2015. http://dx.doi.org/10.15544/rd.2015.085.

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During the past fifty years, Colombia has endured an internal armed conflict. It has left as a result massive forced displacements, destruction of the social capital and indiscriminate logging of forests in regions affected by illicit crops and a strong presence of illegal armed groups supported by drug trafficking. In spite of a number of national policies and programs against illicit crops, the issue still persists, along with all the social implications it carries with. This paper presents a model for planning rural development projects in regions with illicit crops. The methodology applied is based on the model "Working With People (WWP)" and integrates the knowledge and experience gathered throughout the implementation of various projects in the region of La Macarena, Colombia. It takes into account eight years of continuous work with the communities, in one of the areas of greatest social unrest in Colombia, due to illicit crops, on-going criminal activity and violence by illegal armed groups and a weak presence of State institutions. Some of the factors hindering successful advancement of rural development policies include the breakdown of the social fabric, deterioration of moral values, family disintegration and lack of confidence. The conceptual framework applied integrates elements from policy analysis and social learning (Friedmann, 1991; Cazorla et al., 2015), proposed as a reaction from traditional and ineffective social reform models (Friedmann, 1991) developed in this type of scenarios. Following a thorough review of rural development planning theories regarding illicit crops areas, we carried out an analysis of the experience in the Macarena region under the WWP model. The results show the effects of the WWP model and the necessity to develop a strategy for the eradication of illicit crops in a post-conflict scenario, taking into account various social variables. Findings denote a greater relevance of the ethical-social and political-contextual dimensions in terms of sustainable rural development. Trust building, the enhancement of social relationships and direct interaction with target communities are the basic factors to the reconstruction of the social fabric and value systems, fostering sustainable rural development and stabilization.
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Encarnacion, Roberto, and Rolando Baca. "Implementation of a capacity planning system (CRP) in a manufacturing company." In 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research and Leadership in Post-pandemic Engineering: Resilient, Inclusive and Sustainable Actions”. Latin American and Caribbean Consortium of Engineering Institutions, 2022. http://dx.doi.org/10.18687/laccei2022.1.1.662.

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