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Relevant bibliographies by topics / Adaptive agriculture

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Academic literature on the topic 'Adaptive agriculture'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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Journal articles on the topic "Adaptive agriculture"

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Krechetnikova, E. O., V. V. Krechetnikov, I. E. Titov, and V. K. Kuznetsov. "Geoinformation system for designing adaptive landscape farming systems on the radioactively contaminated territory of the Tula research institute of agriculture." Geoinformatika, no. 4 (2020): 12–19. http://dx.doi.org/10.47148/1609-364x-2020-4-12-19.

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GIS project was developed for the radioactively contaminated territory of the Tulskii NII. It was created in order to project the adaptive landscape agricultures. It was based on the information on the concentrations of 137Cs radionuclide in soil, compiled over 16 years. Electronic maps have been developed to create a GIS project and included the location of agricultural lands; crop rotation systems; distribution of specific activity values for artificial 137Cs radionuclide in agricultural lands; agrochemical indexes (the humus content, potassium content, contribution of phosphorus, the acidit

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Tsyuk, А. A., V. I. Kirilyuk, and L. P. Yushchenko. "Agricultural landscape efficiency under influence of adaptive system of agriculture." Bìoresursi ì prirodokoristuvannâ 9, no. 3-4 (2017): 49–54. http://dx.doi.org/10.31548/bio2017.03.008.

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Riaz, Abdur Rehman, Syed Mushhad M. Gilani, Salman Naseer, Sami Alshmrany, Muhammad Shafiq, and Jin-Ghoo Choi. "Applying Adaptive Security Techniques for Risk Analysis of Internet of Things (IoT)-Based Smart Agriculture." Sustainability 14, no. 17 (2022): 10964. http://dx.doi.org/10.3390/su141710964.

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In modern times, the Internet of Things (IoT) is having a major impact on agriculture. Risk and security parameters are always linked when researching, developing, implementing and deploying IoT-based devices. It is a myth that security does not play a major role in IoT applications in agriculture. Data accuracy and availability is a high-priority requirement for farmers who help achieve high yields. A secure IoT network requires a situational approach, often referred to as dynamic security. An advanced security approach to improving IoT security is adaptive security, a cybersecurity-based app

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Deineha, Oleksandr, Kateryna Chymosh, Tetiana Kobylynska, Oleksii Nazarov, Mykola Liapa, and Nataliia Sapotnitska. "Adaptive Management of Transport Logistics in Agricultural Enterprises." Journal of Agriculture and Crops, no. 81 (December 10, 2021): 20–26. http://dx.doi.org/10.32861/jac.81.20.26.

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Agriculture is a complex logistics system with some features and limitations. The logistics system usually operates in conditions of pronounced uncertainty, characteristic random processes, so the aim of the article is to study and develop recommendations for improving the adaptability of transport logistics management in agricultural enterprises. In the article, the authors considered the specifics of logistics processes occurring in agriculture. The importance of cooperation in the development of logistics of the agro-industrial complex formed based on intersectoral cooperation of public tra

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Balakrishnan, Dhanusha, Vani Chandran, B. Seema, and Preethu K. Paul. "Climate adaptive agricultural extension approaches for putting research into use." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 17, no. 1 (2021): 126–29. http://dx.doi.org/10.15740/has/ijas/17.1/126-129.

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The reality of climate change is harsh and it’s a bitter truth for most of our farmers. In the present situation, climate change is one of the most important challenges to food security. Pertinent actions are, therefore, needed to address these challenges to enable the agricultural sector to significantly contribute to the attainment of agriculture development. Climate adaptive agricultural approach is an approach for developing agricultural strategies to secure sustainable food security under climate change. Through CAA the quality and quantity of agricultural production can be increased and

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Zougmoré, Robert B., Samuel T. Partey, Mathieu Ouédraogo, Emmanuel Torquebiau, and Bruce M. Campbell. "Facing climate variability in sub-Saharan Africa: analysis of climate-smart agriculture opportunities to manage climate-related risks." Cahiers Agricultures 27, no. 3 (2018): 34001. http://dx.doi.org/10.1051/cagri/2018019.

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In the literature, a lot of information is available about climate change perceptions and impacts in sub-Saharan Africa. However, there is limited attention in the region to emerging initiatives, technologies and policies that are tailored to building the adaptive capacity of agricultural systems to climate change and variability. In this paper, we discuss the prospects for climate-smart agriculture technologies and enabling policies in dealing with climate change and variability at different sub-regional levels of sub-Saharan Africa to sustain farm productivity and livelihoods of agrarian com

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Soldat, Igor E. "Reducing the negative impact of soil erosion in the Belgorod region through adaptive landscape farming system." RUDN Journal of Agronomy and Animal Industries 15, no. 2 (2020): 182–90. http://dx.doi.org/10.22363/2312-797x-2020-15-2-182-190.

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In the Russian Federation, solving problems of land use, land relations, and land policy leave the basis for social, environmental, economic, and overall political stability of the state. The area of the Belgorod region is 2713.4 thousand hectares, including arable land - 1654.4 thousand hectares (61 %), pastures - 347.6 thousand hectares (12.8 %), hayfield - 68.1 thousand hectares (2.5 %), forests and other lands - 316.5 thousand hectares (22.7 %). The area of eroded soils is 53.6 % of the entire territory of the region. They include: slightly washed out soils - about 35 %, moderate washed ou

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Sharad S. Jagtap. "Reinventing Smart Farming Using Adaptive Quantum Machine Learning Model." Journal of Information Systems Engineering and Management 10, no. 5s (2025): 453–61. https://doi.org/10.52783/jisem.v10i5s.665.

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This study investigates how precision agriculture and crop production predictions may be improved using Quantum Machine Learning (QML) models, namely the Variational Quantum Circuit (VQC). The VQC outperformed traditional linear regression and other quantum models such as Quantum Neural Networks (QNN) and Quantum Convolutional Neural Networks (QCNN) by using quantum computing's ability to analyze high-dimensional agricultural data. With the lowest Mean Squared Error (MSE: 28.00), Mean Absolute Error (MAE: 3.8), and greatest R-squared (R2: 0.97), the VQC successfully identified intricate relati

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Muasa, Lilian, and Hirotaka Matsuda. "Mobile Based Agriculture and Climate Services Impact on Farming Households in Rural Kenya." Journal of Sustainable Development 12, no. 2 (2019): 1. http://dx.doi.org/10.5539/jsd.v12n2p1.

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Rural farming households in semi-arid regions in Kenya are vulnerable to climate change impacts due to overreliance on rain fed agriculture and low adaptive capacity. Farming households&rsquo; adaptive capacity development is detrimental to enable them cope with short and long term impacts. Information Communication and Technology (ICTS) play an essential role in adaptive capacity development by ensuring access to information and knowledge related to agriculture and climate. The mobile phone is one of dominant ICT tool with wider ownership and promising technology for information accessibi

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Liu, Ping Yi, Hai Tao Li, Shao Ying Zhang, and Wen Jun Wei. "Kinematic Analysis of the Wheeled Terrain Adaptive Locomotion with Two-Degree-of-Freedom." Advanced Materials Research 538-541 (June 2012): 713–16. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.713.

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According to the requirements for field work in precision agriculture, a new wheeled terrain adaptive locomotion theory with two-degree-of-freedom basing on the conventional wheeled locomotion mechanism is presented for the farmland environment in rough terrains of hill, mountain, and etc area. The mechanism’s two-degree-of-freedom of terrain adaptive locomotion is calculated when running on uneven terrain area. This research is valuable and helpful in theory for improving the agricultural machines’ terrain adaptive locomotion ability.

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Dissertations / Theses on the topic "Adaptive agriculture"

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Kinkaid, Eden. "The architecture of ecology: Systems design for sustainable agricultural landscapes." Ohio University Honors Tutorial College / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1366983104.

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White, Alissa. "Local farmer knowledge of adaptive management on diversified vegetable and berry farms in the northeastern US." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1019.

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Agricultural adaptation to climate change is notoriously context specific. Recently updated projections for the Northeastern US forecast increasingly severe and erratic precipitation events which pose significant risks to every sector of agricultural production in the region. Vegetable and berry farmers are among the most vulnerable to the risks of severe precipitation and drought due to the intensive soil and crop management strategies which characterize of this kind of production. To successfully adapt to a changing climate, these farmers need information which is tailored for the unique cha

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au, Helenallison@ozemail com, and Helen Elizabeth Allison. "Linked Social-Ecological Systems: A Case Study of The Resilience of The Western Australian Agricultural Region." Murdoch University, 2003. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20040730.144640.

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In the Western Australian agricultural region, an area of approximately 14 million hectares (70,000 square miles), widespread areas of native vegetation have been cleared and replaced with annual cropping systems, predominantly wheat. Only1.3 million hectares (10%) of small and scattered native vegetation remnants remain. By 2000 16% of land in the region was at risk from soil salinity and was largely unproductive for commercial agriculture. A new hydrological equilibrium affecting 33% of the Western Australian agricultural region is predicted to be reached between 2050 and 2300. The startin

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Ayalp, Ekrem. "Restructuring Agriculture And Adaptive Processes In Rural Areas: The Case Of Cotton Sector In Adana-karatas." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609010/index.pdf.

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While there has been an ongoing transformation of traditional agriculture and new regulations on agricultural institutional formations and market structures, the aim of this thesis is tracing forward to identify who the losers and the winners of this process would be. The background question is about the new faces of the rural areas and, the study considers what the current importance of agriculture in those areas is and if rural areas as living formations are in transition, then what will be the implications of this restructuring in terms of agriculture. These issues are investigated with ref

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Davey, Calayde Aenis. "Proximity vertical agriculture at the Pretoria West Power Station." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/30285.

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The thesis addresses the proximity of contemporary global human issues to local human issues and presents an architectural solution. By identifying, exploring and drawing closer the proximities between these global and local issues, new solutions can be developed for local application. There are new fields created for architecture when we understand and connect the proximity of objects of both cultural and biophysical creation, and when we understand and build on our ever-narrowing proximities between what has been and what is to come. The narrowing global conditions have direct implications o

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Conrad, Abigail. "We are farmers| Agriculture, food security, and adaptive capacity among permaculture and conventional farmers in central Malawi." Thesis, American University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3668010.

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<p> Small-scale family farming to meet household food and livelihood needs is a central activity for most households in rural Malawi. Food insecurity and malnutrition are persistent problems for these farmers. Conventional agriculture techniques and maize production are the focus of most household farming, government agriculture policy, and agricultural development programs. However, conventional agriculture and maize production are expensive and unreliable in the short term, and environmentally and financially unsustainable in the long term. As an alternative, some NGOs and farmers in Malawi

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Taylor, Rachael C. "Understandings, indicators, and implications of enhanced adaptive capacity within agricultural development interventions in Northern Ghana." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/68274/.

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Enhanced adaptive capacity is increasingly being pursued as an objective of agricultural development interventions due to the perceived vulnerability of smallholder farming communities to a range of shocks and stresses. This research used two case studies of agricultural development interventions in Northern Ghana to examine diverse understandings of adaptive capacity, potential indicators of enhanced adaptive capacity, and the implications of this for sustainable agricultural livelihoods. The thesis reviews relevant theoretical literature to situate the study among complex adaptive systems th

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McFarland, Kelly. "Twenty-First Century Local Food Farmers in North Texas: An Evaluation of Farming Methods, Best Practices, and Common Struggles." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609143/.

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Research with local farmers and local food consumers in the North Texas area which captures a contemporary understanding of the challenges and successes present in North Texas local farm-and-food networks. Through ethnographic research methods, including participant-observation and semi-structured interviews, the network of producers and consumers around several farmers' markets were evaluated to understand where the strengths of local food lie, and where networks need development to promote a more stable local food environment. Texas is newer to the trend of farmers' market development, with

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Balasubramaniyam, Anuluxshy. "Root adaptive responses of tall fescue (Festuca arundinacea) growing in sand treated with petroleum hydrocarbon contamination." Thesis, University of Greenwich, 2012. http://gala.gre.ac.uk/9147/.

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Phytoremediation is a green technique used to restore polluted sites through plant-initiated biochemical processes. Its effectiveness, however, depends on the successful establishment of plants in the contaminated soil. Soils that are contaminated with polycyclic aromatic hydrocarbons (PAHs), especially low molecular weight, mobile PAHs such as naphthalene pose a significant challenge to this. Plant roots growing in these soils exhibit changes to their structure, physiology and growth patterns. Tall fescue (Festuca arundinacea) roots grown in sand contaminated with either petroleum crude oil (

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Tomas, Cusicanqui. "Assessing the adaptive capacity of Sweden's environmental governance." Thesis, Linköpings universitet, Statsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128279.

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Different challenges arising from increasingly uncertain and unpredictable environmental and economicconditions have been shifting the focus of public governance and socio-economic development. Morerecently, empirical studies have demonstrated a transitional epoch in which humanity is currently in: TheAnthropocene, as well as its harmful effects that degrade the biosphere, and thus our economic, political,social well-being. The casual dynamics of climate change and its impacts on life-supporting ecosystemshas increasingly been recognized by a resilient approach which incorporates adaptive proc

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Books on the topic "Adaptive agriculture"

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Zhuchenko, A. A. Strategy of adaptive intensification of agriculture: (a concept). Puschino Research Centre, Russian Academy of Sciences, Department of Scientific and Technical Information, 1995.

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Zhuchenko, Aleksandr Aleksandrovich. Strategy of adaptive intensification of agriculture: (a concept). Pushchino Research Centre, Russian Academy of Sciences, Dept. of Scientific and Technical Information, 1995.

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B, Smith Joel, Klein Richard J. T, Huq Saleemul, and Potsdam-Institut für Klimafolgenforschung, eds. Climate change, adaptive capacity and development. Imperial College Press, 2003.

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G, Röling Niels, and Wagemakers, M. A. E. 1964-, eds. Facilitating sustainable agriculture: Participatory learning and adaptive management in times of environmental uncertainty. Cambridge University Press, 1998.

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Kazlauskiene, Natalija. An adaptive policy simulation model to analyze price reforms for Lithuanian food and agricultural products. Center for Agricultural and Rural Development, Iowa State University, 1991.

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Zambia. Ministry of Agriculture. Planning Division. Socio-economic Policy Analysis Section., ed. Annotated bibliography and review of socio-economic isssues in adaptive research. The Section, 1990.

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1960-, Allan Catherine, and Stankey George H, eds. Adaptive environmental management: A practitioner's guide. CSIRO Pub., 2009.

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1960-, Allan Catherine, and Stankey George H, eds. Adaptive environmental management: A practitioner's guide. CSIRO Pub., 2009.

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Moore, Keith M. The sciences and art of adaptive management: Innovating for sustainable agriculture and natural resource management. Soil and Water Conservation Society, 2009.

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Moore, Keith M. The sciences and art of adaptive management: Innovating for sustainable agriculture and natural resource management. Soil and Water Conservation Society, 2009.

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Book chapters on the topic "Adaptive agriculture"

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Chesson, Jean, Karen Cody, and Gertraud Norton. "Signposts for Australian Agriculture." In Adaptive Environmental Management. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9632-7_11.

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Bates, Daniel, Judith Tucker, and Ludomir Lozny. "The Rise of Intensive Agriculture." In Human Adaptive Strategies, 4th ed. Routledge, 2023. http://dx.doi.org/10.4324/b23278-6.

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Ayyam, Velmurugan, Swarnam Palanivel, and Sivaperuman Chandrakasan. "Biosaline Agriculture." In Coastal Ecosystems of the Tropics - Adaptive Management. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8926-9_21.

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Ozherelieva, Zoya E., Pavel S. Prudnikov, Marina I. Zubkova, and Sergey D. Knyazev. "Adaptive Capacity of Strawberries in Autumn." In Sustainable Agriculture. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8731-0_32.

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Aslam, Mehtab Muhammad, Aisha Lawan Idris, Eyalira Jacob Okal, and Muhammad Waseem. "Adaptive Responses of Crop Species Against Phosphorus Deficiency." In Sustainable Agriculture Reviews. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16155-1_4.

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Kishimoto, Keidai, and Wanglin Yan. "Urban Agriculture as a Tool for Adapting Future Cities." In Resilient and Adaptive Tokyo. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-3834-6_9.

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Geetha Lekshmy, V., P. A. Vishnu, and P. S. Harikrishnan. "Adaptive IoT System for Precision Agriculture." In Inventive Computation and Information Technologies. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6723-7_4.

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Naqvi, Afsar Raza, Nirupam Roy Choudhury, and Qazi Mohd Rizwanul Haq. "Small RNA-Mediated Defensive and Adaptive Responses in Plants." In Sustainable Agriculture Reviews. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1521-9_5.

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Wilson, George, Melanie Edwards, and Genevieve Carruthers. "Environmental Management Systems as Adaptive Natural Resource Management: Case Studies from Agriculture." In Adaptive Environmental Management. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9632-7_12.

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Deb, Shovik, and Puspendu Dutta. "Wastewater in Agriculture: Possibilities and Limitations." In Adaptive Soil Management : From Theory to Practices. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3638-5_10.

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Conference papers on the topic "Adaptive agriculture"

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Ma, Li, Zengwei Zheng, Feiping Nie, and Shenfei Pei. "Semi-supervised Dimensionality Reduction with Adaptive Neighbors for Intellgent Agriculture." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00255.

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Abarnaa, S., B. Anumitha, K. Dheetchanaa, and B. G. Geetha. "Adaptive Water Resource Allocation in Smart Agriculture using Time-Varying Bayesian Networks." In 2025 International Conference on Advanced Computing Technologies (ICoACT). IEEE, 2025. https://doi.org/10.1109/icoact63339.2025.11004819.

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Memet, Demirel, Ionuț Pirnog, Ana-Maria Drăgulinescu, George Craioveanu, Ciprian Zamfirescu, and Ioana Marcu. "Adaptive P2P UAV-UGV Prototype for Ad Hoc Network-based Precision Agriculture." In 2025 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2025. https://doi.org/10.1109/iwcmc65282.2025.11059611.

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Shi, Yuhao, Salman Ijaz, Zenan He, Zhiyi Xu, Umair Javaid, and Yu Xia. "Adaptive Backstepping Integral Sliding Mode Control of Multirotor UAV System Used for Smart Agriculture." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831925.

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Bhatt, Pooja, Amit Kumar Mishra, and Neha Tripathi. "Real-Time Machine Learning for Precision Agriculture: Targeted Weed Detection and Adaptive Agrochemical Application." In 2024 International Conference on Cybernation and Computation (CYBERCOM). IEEE, 2024. https://doi.org/10.1109/cybercom63683.2024.10803154.

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J, Boobalan, S. Umamaheswari, and V. Jagannatth. "Adaptive Design and Implementation of Smart Irrigation System for Precision Agriculture: A Novel Approach." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012490.

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Das, Rajdeep, Vaishnavi Sharma, Priyanka Kumari, Abhishek Raj, Sudipta Das, and Indrajit De. "Vyoma-ADS : An AI-Driven Tool for Adaptive Monitoring and Anomaly Detection for Space Agriculture." In 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS). IEEE, 2024. http://dx.doi.org/10.1109/iicccs61609.2024.10763899.

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Kemmannu, Prashantha Kumar, RVS Praveen, Saravanan B, Amshavalli M, Arun K. K, and V. Banupriya. "Enhancing Sustainable Agriculture Through Smart Architecture: An Adaptive Neuro-Fuzzy Inference System with XGBoost Model." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10863994.

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Borshchev, Dmitry, Dmitry Rukhovich, and Vasily Rashkovich. "SPECTRAL CHARACTERISTICS OF GROUPS AND TYPES OF LANDS, CONSTRUCTED BY AVERAGIN LONG-TERM SERIES OF VEGETATION INDECES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s13.38.

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The optimal solution of intensification and ecologisation of agricultural production is achieved in adaptive-landscape farming systems. To solve the problems of adaptive landscape agriculture, classical methods of soil-landscape mapping and new methods of remote diagnostics of intra-field heterogeneity were combined to identify features that will further improve the efficiency of producing maps of groups and types of land and increase their accuracy. Identification of the spectral characteristics of groups and types of land has become possible due to neural network filtering of big remote sens

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a, Zeyu, and Zheyu Ji a. "A Novel Bayesian Framework for Inverse Problems in Precision Agriculture." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.113662.

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An essential problem in precision agriculture is to accurately model and predict root-zone (top 1 m of soil) soil moisture profile given soil properties and precipitation and evapotranspiration information. This is typically achieved by solving agro-hydrological models. Nowadays, most of these models are based on the standard Richards equation (RE), a highly nonlinear, degenerate elliptic-parabolic partial differential equation that describes irrigation, precipitation, evapotranspiration, runoff, and drainage through soils. Recently, the standard RE has been generalized to time-fractional RE w

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Reports on the topic "Adaptive agriculture"

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Gostev, A. V., N. P. Masyutenko, and D. V. Dubovik. Innovative and technological foundations for the development of adaptive landscape agriculture. FSBSI "Kursk Federal Agrarian Scientific Center", 2020. http://dx.doi.org/10.18411/isbn978-5-907167-83-4.

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Research Institute (IFPRI), International Food Policy. IoT-enabled farms and climate-adaptive agriculture technologies: Investment lessons from Singapore. International Food Policy Research Institute, 2019. http://dx.doi.org/10.2499/p15738coll2.133079.

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Elias, Emile, Caiti Steele, Kris Havstad, et al. Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies in the Southwest and California. USDA Southwest Climate Hub, 2017. http://dx.doi.org/10.32747/2017.6965582.ch.

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This report describes the potential vulnerability of specialty crops, field crops, forests, and animal agriculture to climate-driven environmental changes. Here, vulnerability is defined as a function of exposure to climate change effects, sensitivity to these effects, and adaptive capacity. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential

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Galang, Ivory Myka, and Roehlano Briones. Culprit and Victim: Scenarios for Philippine Agriculture amidst Climate Change. Philippine Institute for Development Studies, 2024. https://doi.org/10.62986/dp2024.36.

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The study explores the complex role of Philippine agriculture, both as a contributor to and a victim of climate change. The agriculture sector, responsible for 23 percent of the country’s greenhouse gas (GHG) emissions, simultaneously faces severe losses from extreme climate events, which account for 60 percent of disaster-related damages. This study aims to assess the impact of climate change on Philippine agriculture, evaluate mitigation and adaptation options, and formulate effective policy recommendations to foster resilience and sustainability. Scenarios are analyzed using a computable ge

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SANZHAROV, A. I., G. P. GLAZUNOV, and Yu A. SOLOVEVA. ON THE USE OF GIS TECHNOLOGIES FOR AGROECOLOGICAL ASSESSMENT OF LAND IN ADAPTIVE LANDSCAPE SYSTEMS OF AGRICULTURE. Ljournal, 2019. http://dx.doi.org/10.18411/issn1997-0749.2019-07-03.

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Briones, Roehlano, Helena Luz Pastolero, and Ivory Myka Galang. Prospects for Widespread Adoption of Organic-Based Fertilizers in the Philippines: A Rapid Appraisal. Philippine Institute for Development Studies, 2024. https://doi.org/10.62986/dp2024.30.

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Modern conventional agriculture has relied heavily on inorganic fertilizers to achieve higher crop yields. However, concerns have arisen regarding its ecological and economic sustainability due to its impact on soil health, pollutants off-site, and recent surges in fertilizer prices. This paper reports on a rapid appraisal of the current state and potential expansion of organic fertilizer utilization and availability in the Philippines. The study finds that combining inorganic and organic-based fertilizers allows for a balanced realization of the advantages of each type. Government policies an

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Elias, Emile, Caiti Steele, Kris Havstad, et al. Southwest Regional Climate Hub and California Subsidiary Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.6879806.ch.

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In 2015, the Southwest and California Climate Hubs published a report describing the potential vulnerability of crops, forests and animal agriculture to climate-driven environmental changes. The exposure of specific sectors of the agricultural and forestry industries varies across the region because the Southwest is climatically and topographically diverse. There is also variability in the sensitivity of different systems to the effects of climate change. Most significantly, there is potential within agricultural and forestry systems to adjust to climate-related effects either through inherent

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Ruijs, Marc. Value chain analysis of (greenhouse) vegetables in Lebanon : Strengthening Lebanese Water and Agriculture Sector Component 5: Adaptive greenhouse; Work package. Wageningen Economic Research, 2017. http://dx.doi.org/10.18174/425924.

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Podlesnykh, I. V., and T. Ya Zarudnaya. TO THE IMPROVEMENT OF THE METHODS OF ANTI-EROSION ORGANIZATION OF THE TERRITORY FOR AUTOMATED DESIGNING OF ADAPTIVE LANDSCAPE SYSTEMS OF AGRICULTURE. ФГБОУ ВО Курская ГСХА, 2018. http://dx.doi.org/10.18411/issn1997-0749.2018-06-07.

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Revi, Aromar, ed. Natural systems in IIHS campus, Kengeri. Indian Institute for Human Settlements, 2024. https://doi.org/10.24943/9788198702340.

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The IIHS Campus, Kengeri sits at the intersection of the Ramasagara Lake, Sulikere Forest and an urban settlement, making it an excellent site to examine the interconnectedness between natural systems and the built environment. The Campus aspires to become an archetype of a safe space for humans and nature alike, to build eco-friendly and climate resilient structures, and to establish a living lab that brings together people and ideas from multiple disciplines to overcome challenges of rapid urbanisation, growing population and a heating planet. The NATURAL SYSTEMS Box Set contains books that

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