Resultados de búsqueda - "artificial intelligence"

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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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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Advancing Gender Equity in Digital Agro-advisory through Inclusive Artificial Intelligence (AI): Bias Analysis and Strategic Recommendations from the iShamba Platform Based on Five... 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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Artificial intelligence for agricultural supply chain risk management: Constraints and potentials por Tzachor, Asaf

Materias: “…artificial intelligence…”
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Real-time artificial intelligence driven diagnostic that can be used to assess diets por CGIAR Research Program on Agriculture for Nutrition and Health

Materias: “…artificial intelligence…”
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Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence por CGIAR Platform for Big Data in Agriculture

Materias: “…artificial intelligence…”
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CGIAR Initiative on Plant Health: Annual Technical Report 2022 por CGIAR Initiative on Plant Health

Materias: “…artificial intelligence…”
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Participatory AI for inclusive crop improvement por Lasdun, Violet, Guerena, David Tonatiuh, Ortiz-Crespo, Berta, Mutuvi, Stephen Mutisya, Selvaraj, Michael Gomez, Assefa, Teshale

Materias: “…artificial intelligence…”
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Commercialization of Papua New Guinea's vegetable sector: Identifying constraints using quantitative, qualitative, and large language model methods por Fang, Peixun, Anamo, Iga, Gimiseve, Harry, Hayoge, Glen, Mukerjee, Rishabh, Schmidt, Emily, Zhang, Xiaobo

Materias: “…artificial intelligence…”
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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

Materias: “…artificial intelligence…”
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AI-Powered Meta-Analysis Automation por Muller, Lolita, Joshi, Namita, Steward, Peter Richard, Rosenstock, Todd Stuart

Materias: “…artificial intelligence…”
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ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience por Kumar, Shalander, Subbarao, AVM, Dhulipala, Ram, Kumar; Kishore G., Santanu Bal, Chandran, Sarath

Materias: “…artificial intelligence…”
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Combining seasonal forecasts and artificial intelligence to improve agronomy at scale por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…artificial intelligence…”
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