Resultados de búsqueda - DEVELOPMENT AI

Are smallholders willing to pay for animal disease control? Empirical evidence from a study of mass vaccination for avian influenza in Indonesia por Lapar, Ma. Lucila, Nuryartono, N., Toan, N.N., Rafani, I., Bett, Bernard K., McLaws, M., Unger, Fred, Schoonman, L., Jost, Christine, Mariner, Jeffrey C.

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Advanced technologies for reducing greenhouse gas emissions from rice fields: Is hybrid rice the game changer? por Khatibi, Seyed Mahdi Hosseiniyan, Adviento-Borbe, Maria Arlene, Dimaano, Niña Gracel, Radanielson, Ando M., Ali, Jauhar

“…The application of innovative technologies such as high-throughput sequencing, gene editing, and AI can accelerate our understanding of the underlying mechanisms and critical drivers of GHG emissions from rice fields. …”
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CGIAR research program (CRP) on roots, tubers, and bananas: Rationale, strategy and impact. por Thiele, Graham

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WorldFish – Weather Forecasting Prototype por Mudege, N.N.

“…The prototype is linked to the AI Model the team developed for the air and pond water temperature algorithm.…”
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Geographic-scale coffee cherry counting with smartphones and deep learning por Rivera Palacio, Juan Camilo, Bunn, Christian, Rahn, Eric, Little-Savage, Daisy, Schimidt, Paul, Ryo, Masahiro

“…This study aims to develop a geographic-scale monitoring method for coffee cherry counting, supported by an artificial intelligence (AI)-powered citizen science approach. …”
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A review of India's water policy and implementation toward a sustainable future por Singh, S., Goyal, M. K.

“…In this context, integrating artificial intelligence (AI), particularly in smart water management systems, presents promising implications for improving water supply efficiency and optimizing service delivery processes, proving indispensable in addressing water-related challenges, particularly in regions like India. …”
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Implementing artificial intelligence to measure meat quality parameters in local market traceability processes por Alvarez García, Wuesley Yusmein, Mendoza, Laura, Muñoz Vílchez, Yudith Yohany, Casanova Núñez Melgar, David, Quilcate Pairazaman, Carlos

“…The application of computer technologies associated with sensors and artificial intelligence (AI) in the quantification and qualification of quality parameters of meat products of various domestic species is an area of research, development, and innovation of great relevance in the agri-food industry. …”
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Opportunities, challenges, and interventions for agriculture 4.0 adoption por Vijayakumar, Shanmugam, Murugaiyan, Varunseelan, Ilakkiya, S., Kumar, Virender, Sundaram, Raman Meenakshi, Kumar, Rapolu Mahender

“…Agriculture 4.0, a data-driven transformation, addresses these issues through modern technologies like Internet of Things (IoT), artificial intelligence (AI), big data analytics, unmanned aerial vehicles (UAVs), and agricultural robots. …”
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Policy Innovations: Applied political economy and governance tools for decision making and inclusion por Kyle, Jordan, Mockshell, Jonathan, Kaaria, Susan, Ngeno, Evans, Resnick, Danielle

“…The first is the Political Economy and Policy Analysis (PEPA) simulation tool, which utilizes artificial intelligence (AI) functions to identify the appropriate analytical framework for addressing priority policy questions and integrating different stakeholder viewpoints. …”
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Youth engagement in transforming the food system to address malnutrition in the Philippines por Bouis, Howarth E., Sison, Ma. Cristina B., Navasero, John Carlo L.

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Análisis de la situación del cultivo agroenergético Jatropha curcas L. (Tempate) y sus perspectivas para la Producción de biocombustible por Palacios Palacios, David F.

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Improving farmers' access to clean planting material through partnership in the value chain. por Ndirigwe, J., Sindi, K., Kankundiye, L., Shumbusha, D., Nshimiye, J.C., Hakizimana, S., Low, Jan W.

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Ground reference dataset for crop type mapping and monitoring in four districts of Rwanda por Kenduiywo, Benson Kipkemboi, Wahome, Anastasia Mumbi, Sande, Stephen Ngondi, Chemutt, Joseph Kipkoech

“…A critical prerequisite for remote sensing–based crop mapping, however, is the availability of high-quality labelled ground reference data to train and validate Artificial Intelligence (AI) classification models. Consequently, the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), in collaboration with Rwandas’ Ministry of Agriculture and Animal Resources and the Rwanda Space Agency, supported a pilot initiative to develop an automated AI-driven approach for within-season crop monitoring. …”
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Mainstreaming Climate-Smart Agriculture and Climate Information Services into Universities’ Curricula: Training of West Africa University Lecturers por Bamba, Adama, M’Bo, Kacou, Kone, Ismaïla, Amoutchi, Amien Isaac, Koné, Daouda

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Next-generation tools for nutrition-inclusive breeding for cereals por Choudhary, S., Anbazhagan, Krithika, Kholova, J., Murugesan, T., Kaliamoorthy, S., Chadalawada, K., Prasad, Kodukula V.S.V., Nankar, A.N., Mani, V., Chandra, M., Banoriya, R., Vadez, V.

“…Interdisciplinary research combining sensor technology, AI, biochemistry, and crop science has significantly advancing the grain composition analysis, and post-harvest trait evaluation. …”
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Cassava rapid stem multiplication tunnel: Construction manual por Delaquis, Erik, Newby, Jonathan Craig, Malik, Al Imran, Youabee, Laothao, Oudthachit, Saythong, Escobar Pérez, Roosevelt Humberto

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Proposal for Bioenergy Territorial Planning in LATAM; Part 1/2: Circular Economy Model, Urban Component Using Household Biomass por Gómez Montoya, Juan Pablo, Ortiz Dongo, Luis Felipe, Silva, Fernando, Peñalva , Jhon Jhonathan, Arrieta Gonzales, Carlos, Luna DelRisco, Mario

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Culture of spermatogonial stem cells and use of surrogate sires as a breeding technology to propagate superior genetics in livestock production: A systematic review por Nakami, W., Kipyegon, A.N., Nguhiu-Mwangi, J., Tiambo, Christian K., Kemp, Stephen J.

“…Data screening was conducted using Rayyan Intelligent Systematic Review software (https://www.rayyan.ai/). Duplicate papers were excluded from the study. …”
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Susceptibility of cassava varieties to disease caused by Sri Lankan cassava mosaic virus and impacts on yield by use of asymptomatic and virus-free planting material por Malik, Al Imran, Sophearith, Sok, Delaquis, Erik, Cuéllar, Wilmer Jose, Jiménez Polo, Jenyfer, Newby, Jonathan Craig

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Can we trust large language models to summarize food policy research papers and generate research briefs? por Kim, MinAh, Koo, Jawoo, Jung, Yunchul

“…In our study, we assessed the efficacy of LLMs in generating policy briefs by inputting an IFPRI discussion paper into three different LLM-based approaches: a standard chatbot without extra data, a Retrieval Augmented Generation model integrating semantic search with LLM, and a custom-developed Brief Generator designed to create policy summaries from AI-analyzed paper structures. …”
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