Resultados de búsqueda - DEVELOPMENT AI

Media analysis for crop protection: Utilizing AI to monitor top five priority diseases in agriculture por Kim, Soonho, Song, Xingyi, Park, Boyeong, Ko, Daeun, Liu, Yanyan

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AI-powered risk assessment tools for agribusinesses: transforming investment-readiness and climate advisory in Africa por Dahl, Hauke, Peterson, Nathanial Richard, Muoki, Nicole

“…The Info Note presents findings from ten East African agribusinesses piloting an AI-powered risk assessment tool developed by AICCRA and CGIAR. …”
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An AI-driven River Salinity Forecast and Advisory System for Climate Resilient Agriculture in Coastal Bangladesh por Matheswaran, Karthikeyan, Behera, Abhijit, Sena, Dipaka Ranjan, Jampani, Mahesh, Hasib, Md Raqubul, Mondal, Manoranjan K.

“…To address this gap, an AI-based river salinity advisory system has been developed and piloted in two polders in the Khulna region. …”
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Transforming AgWise: An inclusive, sustainable, and trustworthy AI-powered agronomic advisory platform in Africa por Tuse, Misganu, Abera, Wuletawu

“…The present report documents this transformation and situates AgWise within ongoing efforts to advance sustainable agricultural practices in Africa through responsible and participatory AI (Sahoo & Jena, 2025).…”
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Optimizing Rice Crop Manager Odisha: AI-Driven Yield Prediction to compliment Extension using legacy data por Gakhar, Shalini, Bharti, Preeti

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Digital framework for georeferenced multiplatform surveillance of banana wilt using human in the loop AI and YOLO foundation models por Mora, Juan Jose, Blomme, Guy, Safari, Nancy, Elayabalan, Sivalingam, Selvarajan, Ramasamy, Selvaraj, Michael Gomez

“…This study introduces an AI-powered multiplatform georeferenced surveillance system designed to enhance the detection and management of banana wilt diseases. …”
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Building the capacity of National Agricultural Research Systems in applying PEPA.AI for evidence-based agrifood policy analysis: Training workshop report por Mockshell, Jonathan, Mosquera, Leslie Estefany, Barungi, Julian, Okonya, Joshua

“…On 1-4 October 2025, 42 representatives of National Agricultural Research and Extension System (NARES) Institutions—including researchers, policymakers, private-sector firms, and development professionals—gathered in Nairobi, Kenya, for a multistakeholder training workshop, on learning to apply the Political Economy and Policy Analysis Artificial Intelligence (PEPA.AI) as a decision-support tool for political economy and policy analysis in agrifood systems. …”
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WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - technical guide por Vickneswaran, Keerththanan, Retief, H., Padilha, R., Dickens, Chris, Silva, Paulo, Garcia Andarcia, Mariangel

“…The present document provides a comprehensive overview of the development, architecture, and capabilities of the Limpopo Digital Twin Chatbot or Copilot (WaterCopilot). …”
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ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub) por Muller, Lolita, Joshi, Namita, Steward, Peter Richard, Rosenstock, Todd Stuart

“…This repository, developed under the CGIAR Sustainable Farming Program (SFP), establishes an AI-assisted workflow for evidence synthesis and meta-analysis in agriculture. …”
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What and who has determined adoption? A study on improved forage technologies in Colombia from an Agricultural Innovation System (AIS) perspective por Enciso, Karen, Triana Ángel, Natalia, Díaz, Manuel Francisco, Burkart, Stefan

“…This study explores the dynamics behind the development and diffusion of improved forage technologies in Colombia, from the 1960's to the present through an Agricultural Innovation Systems (AIS) perspective. …”
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Artificial intelligence for agricultural supply chain risk management: Preliminary prioritizations and constraints for the deployment of AI in food chains assessed by CGIAR scienti... por Tzachor, Asaf

“…Importantly, where the integration of AI will be most desirable, in highly vulnerable supply chain phases in developing countries, the potential for AI integration is estimate to be limited.…”
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AI-powered detection and quantification of Post-harvest Physiological Deterioration (PPD) in cassava using YOLO foundation models and K-means clustering por Gomez Ayalde, Daniela, Giraldo Londono, Juan Camilo, Quiroga Mosquera, Audberto, Luna-Melendez, Jorge Luis, Gimode, Winnie, Tran, Thierry, Zhang, Xiaofei, Selvaraj, Michael Gomez

“…This study aims to address this issue by developing a comprehensive framework in collaboration with cassava breeders. …”
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AI-assisted dietary assessment and personalised “nudges” in urban youth: Feasibility and effectiveness of a mobile phone-based intervention to improve diets in Ghana por Gelli, Aulo, Folson, Gloria, Nwabuiku, Odiche, Bannerman, Boateng, Ador, Gabriel, Atadze, Vicentia, Asante, Millicent, McCloskey, Peter, Nguyen, Phuong Hong, Hughes, David

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WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - user guide V0 202410 por Vickneswaran, Keerththanan, Retief, H., Padilha, R., Dickens, Chris, Silva, Paulo, Ghosh, Surajit, Garcia Andarcia, Mariangel

“…The Limpopo Digital Twin Water Management AI Virtual Assistant User Guide provides a practical guide for users to effectively navigate WaterCopilot, an AIpowered Copilot developed by the International Water Management Institute (IWMI) in collaboration with Microsoft Research. …”
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Agronomic evaluation of cowpea cultivars developed for the West African Savannas por Kamara, A.Y., Ewansiha, S.U., Ajeigbe, Hakeem A., Omoigui, L.O., Tofa, A.I., Karim, K.Y.

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Development of microsatellite markers for anthracnose resistance in greater yam (Dioscorea alata L.) from expressed sequence tags of heterologous crop species por Narina, S.S., Montegue, P., Asiedu, Robert, Mohamed, A.I.

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Design of a mobile phone-based Artificial Intelligence (AI) application to assess dietary intake and provide nudges to improve healthy eating choices: Formative research in Ghana a... por Braga, Bianca C., Aberman, Noora-Lisa, Arrieta, Alejandra, Bannerman, Boateng, Burns, Adam, Folson, Gloria, Huynh, Phuong, Koch, Bastien, McCloskey, Pete, Nguyen, Phuong Hong, Zakariah-Akoto, Sawudatu, Hughes, David, Gelli, Aulo

“…Nudging for Good (NFG) is a new research project aimed at developing, validating, and examining the feasibility of using artificial intelligence (AI)-based technology to improve adolescent girls' diets in urban Ghana and Vietnam. …”
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Gender analysis of the contribution of urban agriculture to sustainable livelihoods in Accra, Ghana por Adeoti, A.I., Cofie, Olufunke O., Oladele, O.I.

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Dairy development in Ethiopia por Ahmed, Mohamed A. M., Ehui, Simeon, Yemesrach, Assefa

“…Integration of crossbred cattle to the sector is imperative for dairy development in the country. This can be achieved either through promotion of large private investment to introduce new technology in the sector such as improved genotypes, feed and processing, and promotion of integration of crossbred cattle into the smallholder sector through improving their access to improved cattle breeds, AI service, veterinary service, and credit. …”
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What traits of collaboration networks are associated with project success? The case of two CGIAR agricultural research programs for development por Plex Sulá, A.I., De Col, Valentina, Etherton, B.A., Yanru Xing, Agarwal, A., Ramić, L., Bonaiuti, Enrico, Friedmann, M., Proietti, Claudio, Thiele, Graham, Garrett, Karen A.

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