Resultados de búsqueda - "Intelligence

AI-powered banana diseases and pest detection por Selvaraj, Michael Gomez, Vergara, A., Ruíz, H., Safari, N., Elayabalan, S., Ocimati, W., Blomme, Guy

Materias: “…artificial intelligence…”
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AI-driven tree monitoring for silvopastoral systems using remote sensing imagery: Progress report por Ruiz-Hurtado, Andres Felipe, Cardoso Arango, Juan Andrés

Materias: “…artificial intelligence…”
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Validation of AI tools for disease recognition at large scale, available via a digital platform to support surveillance and breeding for resistance por Rodríguez, Rafael, Cuéllar, Wilmer Jose, Mwanzia, Leroy

Materias: “…artificial intelligence…”
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Child linear growth during and after the first 1000 days is positively associated with intellectual functioning and mental health in school-age children in Vietnam por Nguyen, Phuong Hong, Tran, Lan Mai, Khương, Long Quỳnh, Young, Melissa F., Duong, Thai Hong

Materias: “…intelligence…”
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Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI por Gomez, Daniela, Selvaraj, Michael Gomez, Casas, Jorge, Mathiyazhagan, Kavino, Rodriguez, Michael, Assefa, Teshale, Mlaki, Anna, Nyakunga, Goodluck, Kato, Fred, Mukankusi, Clare, Girma, Ellena, Mosquera, Gloria, Arredondo, Victoria, Espitia, Ernesto

Materias: “…artificial intelligence…”
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Stakeholder consultation workshop on leveraging digital solutions in agricultural extension: Pathways to inclusive and sustainable farming por Gakhar, Shalini, Singaraju, Niyati, Bharti, Preeti, Patwar, Shelly, Nagaraji, Satish, Kiragi, Pratibha, Maria, Sherin

Materias: “…artificial intelligence…”
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Optimizing Rice Crop Manager Odisha: AI-Driven Yield Prediction to compliment Extension using legacy data por Gakhar, Shalini, Bharti, Preeti

Materias: “…artificial intelligence…”
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Assessing the relevance of 2022-2024 variety releases deriving from CGIAR Breeding Pipelines and Networks – an internal MELIA study por Bänziger, Marianne, Lenaerts, Bert, Gitonga, Agnes, Coaldrake, Peter, Demont, Matty, Quinn, Michael

Materias: “…market intelligence…”
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Real-time media analysis using large language model (LLM) for the top 5 prioritized pests and diseases por Kim, Soonho, Song, Xingyi, Park, Boyeong, Ko, Daeun, Liu, Yanyan

Materias: “…artificial intelligence…”
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Trait priorities for irrigated rice in Southern Asia and South-eastern Asia por Ynion, Jhoanne, Custodio, Marie Claire, Demont, Matty

Materias: “…market intelligence…”
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Advancing Gender Equity in Digital Agro-advisory through Inclusive Artificial Intelligence (AI): Bias Analysis and Strategic Recommendations from the iShamba Platform Based on Five Years of Female Farmers.... por Nganga, Kevin Gitau, Grossi, Amanda, Wanjau, Agnes Njambi

Materias: “…artificial intelligence…”
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Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis por Ndour, Adama, Blasch, Gerald, Valente, João, Bisrat Gebrekidan, Sida, Tesfaye Shiferaw

Materias: “…artificial intelligence…”
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Generative AI's environmental footprint poses difficult tradeoffs for agrifood systems in low- and middle-income countries por Margolies, Amy

Materias: “…artificial intelligence…”
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How accurately do the large language models (LLMs) powering chatbots respond to questions on gender equality and women's empowerment in Indian agriculture? por Magalhaes, Marilia, Singaraju, Niyati, Koo, Jawoo

Materias: “…artificial intelligence…”
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Tracking Rangeland Degradation from Prosopis Invasion in Kenyan Rangeland: A Multi-Source Approach Combining Remote Sensing, Machine Learning and Citizen Science por Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

Materias: “…artificial intelligence…”
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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.

Materias: “…artificial intelligence…”
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Mécanisme de diffusion des informations climatiques à la communauté dans les villages intelligents face au climat: Expérience du VIC de Ouda au Burkina Faso. por Etienne, Sodré, Vianney, Tarpaga Wendpouiré, Alimata, Bandaogo Arzouma, Boureima, Tassembedo, Fatimata, Saba, Grégoire, Baki, Cyriaque, Sia, Ogunbayo, Ayoni, Ogou, Anani, Ouedraogo, Mathieu

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Co-conception d’un modèle de village intelligent face au climat ou climate smart village à Ouda, dans le Centre-Sud du Burkina Faso por Sodré, Etienne, Tarpaga, Wendpouiré Vianney, Bandaogo, Arzouma Alimata, Tassembedo, Boureima, Saba, Fatimata, Sawadogo, Flavienne Valérie, Sombié, Pierre Alexandre Eric, Ogou, Anani, Ouedraogo, Mathieu

“…Dans le cadre du Programme TARSPro, l'INERA avec l'appui technique de l'Alliance of Bioversity-ClAT met en œuvre l'Approche Agriculture Intelligente face au Climat (AIC) au Burkina Faso à travers l'approche ''Village Intelligent face au Climat (VIC)'' pour une mise à l'échelle des pratiques et technologies AIC. …”
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Vulgariser l’approche Village Climato-Intelligent à travers le renforcement de capacité des pays du CILSS et bénéficiaires du P2-P2RS por Likpete, Didier Dagnon, Gouroubera, Worou Mori, Segnon, Alcade Christel, Azakpo, Yaossè, Zougmore, Robert Bellarmin

“…L’Institut du Sahel (INSAH/CILSS), en partenariat avec le CIAT, a organisé dans le cadre du programme AICCRA du 29 septembre au 3 octobre 2025 à Ouagadougou un atelier régional de renforcement de capacité sur l’approche des Villages Climato-Intelligents (VCI), à l’intention des cadres des pays membres du CILSS et du Projet 2 du P2RS. …”
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Approche Village Climato-Intelligent : Un laboratoire vivant pour la recherche et l’innovation en milieu réel au Sahel et en Afrique de l’Ouest por Likpete, Didier Dagnon, Gouroubera, Worou Mori, Segnon, Alcade Christel, Azakpo, Yaosse, Zougmore, Robert Bellarmin

“…Note de plaidoyer à l’attention de la Communauté scientifique - Approche Village Climato-Intelligent : Un laboratoire vivant pour la recherche et l’innovation en milieu réel au Sahel et en Afrique de l’Ouest…”
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