Search Results - "artificial Intelligence"

Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI by 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

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

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Optimizing Rice Crop Manager Odisha: AI-Driven Yield Prediction to compliment Extension using legacy data by Gakhar, Shalini, Bharti, Preeti

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Real-time media analysis using large language model (LLM) for the top 5 prioritized pests and diseases by Kim, Soonho, Song, Xingyi, Park, Boyeong, Ko, Daeun, Liu, Yanyan

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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... by Nganga, Kevin Gitau, Grossi, Amanda, Wanjau, Agnes Njambi

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

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Generative AI's environmental footprint poses difficult tradeoffs for agrifood systems in low- and middle-income countries by Margolies, Amy

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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? by Magalhaes, Marilia, Singaraju, Niyati, Koo, Jawoo

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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 by Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

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An AI-driven River Salinity Forecast and Advisory System for Climate Resilient Agriculture in Coastal Bangladesh by Matheswaran, Karthikeyan, Behera, Abhijit, Sena, Dipaka Ranjan, Jampani, Mahesh, Hasib, Md Raqubul, Mondal, Manoranjan K.

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Artificial intelligence for agricultural supply chain risk management: Constraints and potentials by Tzachor, Asaf

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Real-time artificial intelligence driven diagnostic that can be used to assess diets by CGIAR Research Program on Agriculture for Nutrition and Health

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Inspire Challenge Award: Pest and disease monitoring by using artificial intelligence by CGIAR Platform for Big Data in Agriculture

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CGIAR Initiative on Plant Health: Annual Technical Report 2022 by CGIAR Initiative on Plant Health

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Participatory AI for inclusive crop improvement by Lasdun, Violet, Guerena, David Tonatiuh, Ortiz-Crespo, Berta, Mutuvi, Stephen Mutisya, Selvaraj, Michael Gomez, Assefa, Teshale

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

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ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub) by Muller, Lolita, Joshi, Namita, Steward, Peter Richard, Rosenstock, Todd Stuart

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AI-Powered Meta-Analysis Automation by Muller, Lolita, Joshi, Namita, Steward, Peter Richard, Rosenstock, Todd Stuart

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ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience by Kumar, Shalander, Subbarao, AVM, Dhulipala, Ram, Kumar; Kishore G., Santanu Bal, Chandran, Sarath

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Combining seasonal forecasts and artificial intelligence to improve agronomy at scale by CGIAR Research Program on Climate Change, Agriculture and Food Security

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