Resultados de búsqueda - Devare, Medha

Standardizing data at collection, Agronomy Breakout Session 1, PhenoHarnomIS May 14, 2018 por Devare, Medha

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DataScribe: user manual por Aubert, C., Devare, Medha

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EIA implementation guide to meet data management goals por Devare, Medha, Aubert, C.

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Training report: Building use case awareness on AgWise and EIA tools and protocols por Aubert, C., Devare, Medha

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DataScribe—Enabling collection of Findable, Accessible, Interoperable, Reusable survey data por Devare, Medha, Aubert, C.

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Global standardized database for retrieval of aggregated datasets by researchers: IPSR Innovation Profile por Devare, Medha, Aubert, C.

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Impressed with ChatGPT's agricultural knowledge? CGIAR's open access effort (probably)* enabled it por Koo, Jawoo, Devare, Medha, King, Brian

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Governing agricultural data: Challenges and recommendations por Devare, Medha, Arnaud, Elizabeth, Antezana, Erick, King, Brian

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Collaborative GARDIAN Labs—A high-compute infrastructure for low-bandwidth environments: IPSR Innovation Profile por Devare, Medha, Ghosh, A., Ramirez, J., Bendito, E., Mkuhlani S.

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Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities por Tzachor, Asaf, Devare, Medha, King, Brian, Avin, Shahar, Ó hÉigeartaigh, Sean

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AgroFIMS v.2.0 - User manual. por Aubert, Céline, Benites Alfaro, Omar Eduardo, Peréz, Ivan, Laporte, Marie-Angélique, Devare, Medha

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Data Sharing Agreement Template por Roa-Rodriguez, A.C., Devare, Medha, Nkomo, M., Vandamme, Elke, Kreye, C., Abu, M.

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AgroFIMS v.1.0 - User manual por Aubert, Céline, Benites Alfaro, Omar Eduardo, Peréz, Ivan, Laporte, Marie-Angélique, Juarez, Henry, Devare, Medha

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AgroFIMS: A tool to enable digital collection of standards-compliant FAIR data por Devare, Medha, Aubert, Céline, Benites Alfaro, Omar Eduardo, Pérez Masias, Ivan Omar, Laporte, Marie-Angélique

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Large language models and agricultural extension services por Tzachor, Asaf, Devare, Medha, Richards, Catherine, Pypers, Pieter, Ghosh, Aniruddha, Koo, Jawoo, Johal, S., King, Brian

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Integrating APSIM model with machine learning to predict wheat yield spatial distribution por Kheir, A.M.S., Mkuhlani, S., Mugo, J.W., Elnashar, A., Nangia, V., Devare, Medha, Govind, A.

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The Crop Ontology: a source of standard traits and variables for breeding and agronomy por Arnaud, Elizabeth, Valette, L., Pietragalla, J., Laporte, Marie-Angélique, Aubert, C., Devare, Medha, McLaren, G., Ribaut, J.M.

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Data-driven Advisories: Soybean recommendations for El Niño in the Chinyanja Triangle por Bendito, E.G., Mkuhlani, S., Mugo, J., Sila, A., Chernet, M., Devare, Medha, Masikati, Patricia, Nyagumbo, I., Omondi, J.O., Nkomo, M.

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Improving agricultural knowledge management: The AgTrials experience por Espinosa, Herlin, Camargo, Paola, Abreu, David, Devare, Medha, Arnaud, Elizabeth, Porter, C.H., Mwanzia, Leroy, Sonder, Kai, Sibiry Traoré, Pierre C.

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Soybean Recommendations in Chinyanja Triangle During El Niño por Bendito, E.G., Mkuhlani, S., Mugo, J., Sila, A., Chernet, M., Devare, Medha, Masikati, Patricia, Nyagumbo, I., Omondi, J.O., Nkomo, M., Muzata, M.

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