Resultados de búsqueda - "learning"

Taller de fundamentos en análisis de información y minería de datos para agricultura (Big Data) por Tzorin Herrera, Sofía, Jaimes, Diana, Gonzalez, Arturo, Arias, Diana, Pacheco, Monstserrat, Chavez Can, Mario, Llanos Herrera, Lizeth, Navarro Racines, Carlos

Materias: “…machine learning…”
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Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, Machine Learning, and ALOS PALSAR Data por Wessels, Konrad, Mathieu, Renaud, Knox, Nichola, Main, Russell, Naidoo, Laven, Steenkamp, Karen

Materias: “…machine learning…”
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Connecting climate science and society: reflections from early and mid-career researchers at the World Climate Research Programme Open Science Conference 2023 por Díaz, Leandro B., Gulizia, Carla, Jain, Shipra, Langendijk, Gaby S., Palanisamy, Hindumathi, Rabanal, Valentina, Charlton, Candice S., Dajuma, Alima, Donkor, Felix K., Egbebiyi, Temitope S., Kondi Akara, Ghafi, Jrrar, Amna, Siddiqui, Md Rezwan, Brahim, Yassine Ait, Angnuureng, Bapentire D., Anschütz, Anna-Adriana, Awo, Founi M., Builes-Jaramillo, Alejandro, Cobb, Alison, Diallo, Mohamadou A., Er-Retby, Houda, Fotso-Nguemo, Thierry C., Gwinneth, Benjamin, Gudoshava, Masilin, Kemgang Ghomsi, Franck E., Leyba, Inés M., Lguensat, Redouane, Mahon, Roché, Mandal, Shailendra K., Mumo, Lucia, Muzuva, Meshel, Nonki, Rodric M., Rivera, Juan A., Segnon, Alcade C., Tanimoune, Laouali I., Zauisomue, Erlich-Honest E. I., Siame, Gilbert

Materias: “…machine learning…”
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Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset por Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, Devkota Wasti, Mina Kumari, Elnashar, Abdelrazek, Omar, Mohie, Feike, Til

Materias: “…machine learning…”
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A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF) por Kira, Oz, Wen, Jiaming, Han, Jimei, McDonald, Andrew J., Barrett, Christopher B., Ortiz-Bobea, Ariel, Liu, Yanyan, You, Liangzhi, Mueller, Nathaniel D., Sun, Ying

Materias: “…machine learning…”
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Using machine learning tools for salinity forecasting to support irrigation management and decision-making in a polder of coastal Bangladesh por Behera, Abhijit, Sena, Dipaka Ranjan, Matheswaran, Karthikeyan, Jampani, Mahesh, Hasib, Md. R., Mondal, M. K.

Materias: “…machine learning…”
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Assessing methane emissions from paddy fields through environmental and UAV remote sensing variables por Velez, Andres Felipe, Alvarez, Cesar Ivan, Navarro, Fabian, Guzman, Diego, Bohorquez, Martha Patricia, Selvaraj, Michael Gomez, Ishitani, Manabu

Materias: “…machine learning…”
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The Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision making por Akingbemisilu, Tosin Harold, Jordan, Irmgard, Asiimwe, Robert, Bodjrenou, Sam, Nabuuma, Deborah, Odongo, Nicanor, Onyango, Kevin Omondi, Teferi, Ermias, Tokeshi, Casey, Lundy, Mark, Termote, Celine

Materias: “…machine learning…”
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Next-generation hybrid precipitation forecasts that integrate Indigenous knowledge por Sutanto, S. J., Bosdijk, J., Benedict, I., Moene, A., Milosevic, D., Ludwig, Fulco, Paparrizos, S.

Materias: “…machine learning…”
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A systematic literature review with meta-analysis of predictive modelling of Rift Valley fever outbreaks in East Africa: Machine learning and time series approaches por Mulwa, D.F., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Materias: “…machine learning…”
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KAZNET Web Application User Guide por Lepariyo, Watson, Shikuku, Kelvin Mashisia, Alulu, Vincent, Baraza, Meshack, Galgallo, Diba, Gobu, Wako, Godana, Nura, Banerjee, Rupsha R.

Materias: “…e-learning…”
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Targeting of food aid programs: Evidence from Egypt por Mahmoud, Mai, Kurdi, Sikandra

Materias: “…machine learning…”
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Satellite-surface-area machine-learning models for reservoir storage estimation: regime-sensitive evaluation and operational deployment at Loskop Dam, South Africa por Retief, H., Vigneswaran, Kayathri, Ghosh, Surajit, Garcia Andarcia, Mariangel, Dickens, Chris

Materias: “…machine learning…”
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Adaptive collaborative management: criteria and indicators for assessing sustainability por Pokorny, B., Cayres, G., Nunes, W., Segebart, D., Drude, R., Steinbrenner, M.

Materias: “…learning…”
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Implications of the Kyoto Protocol: Indonesia’s perspective por Murdiyarso, Daniel

Materias: “…learning…”
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Catalyzing collaborative monitoring processes in joint forest management situations: the Mafungautsi forest case, Zimbabwe por Mutimukuru, T., Kozanayi, W., Nyirenda, R.

Materias: “…learning…”
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Guiding principles or "propositions" on Monitoring and Evaluation in CCAFS por Thornton, Philip K., Förch, Wiebke, Schuetz, Tonya, Barahona, Carlos, Abreu, David, Tobon, Hector

Materias: “…learning…”
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ILAC at a glance por Watts, J.

Materias: “…learning…”
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Sunpheno : a deep neural network for phenological classification of sunflower images por Bengoa Luoni, Sofía Ailin, Ricci, Riccardo, Corzo, Melanie Anahi, Hoxha, Genc, Melgani, Farid, Fernandez, Paula Del Carmen

Materias: “…Machine Learning…”
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Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivo aplicando técnicas de aprendizaje automático por Miralles, Guillem, Rodríguez-Carretero, Isabel, Cubero, Sergio, Martínez, Marcelino, Mateo, Fernando, Albert, Francisco, Quinones, Ana, Blasco, José, Gómez-Sanchis, Juan

Materias: “…machine learning…”
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