Search Results - "Learning"

Scaling for Agricultural Impacts: Together and Responsibly by Dror, Iddo, MacMillan, Susan, Schneidt, Agnes, Schut, Marc, Kangethe, Edwin, Buono, Nicoletta

Subjects: “…learning…”
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Putting it all together: Aggregating impacts of school-feeding programmes on education, health and nutrition: two proposed methodologies by Gelli, Aulo, Espejo, Francisco, Shen, Jing, Kristjansson, Elizabeth

Subjects: “…learning…”
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Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan by Suyunov, Alisher, Akramov, Kamiljon T.

Subjects: “…machine learning…”
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Leveling with friends: Social networks and indian farmers’ demand for agricultural custom hire services by Magnan, Nicholas, Spielman, David J., Lybbert, Travis J., Gulati, Kajal

Subjects: “…social learning…”
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High-resolution crop-type mapping in northern Ghana by Alabi, Tunrayo, Muthoni, Francis, Uponi, John, Alabi, William, Oluwaleye, Josiah

Subjects: “…machine learning…”
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Taller de fundamentos en análisis de información y minería de datos para agricultura (Big Data) by Tzorin Herrera, Sofía, Jaimes, Diana, Gonzalez, Arturo, Arias, Diana, Pacheco, Monstserrat, Chavez Can, Mario, Llanos Herrera, Lizeth, Navarro Racines, Carlos

Subjects: “…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 by Wessels, Konrad, Mathieu, Renaud, Knox, Nichola, Main, Russell, Naidoo, Laven, Steenkamp, Karen

Subjects: “…machine learning…”
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Addressing salinity intrusion in the polders of coastal Bangladesh: predictive machine-learning modeling for strategic sluice gate operations by Behera, Abhijit, Sena, Dipaka Ranjan, Hasib, Md. R., Matheswaran, Karthikeyan, Jampani, Mahesh, Mizan, Syed Adil, Islam, Md. J., Alam, R., Mondal, M. K., Sikka, Alok

Subjects: “…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 by 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

Subjects: “…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 by Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, Devkota Wasti, Mina Kumari, Elnashar, Abdelrazek, Omar, Mohie, Feike, Til

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

Subjects: “…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 by Behera, Abhijit, Sena, Dipaka Ranjan, Matheswaran, Karthikeyan, Jampani, Mahesh, Hasib, Md. R., Mondal, M. K.

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

Subjects: “…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 by Akingbemisilu, Tosin Harold, Jordan, Irmgard, Asiimwe, Robert, Bodjrenou, Sam, Nabuuma, Deborah, Odongo, Nicanor, Onyango, Kevin Omondi, Teferi, Ermias, Tokeshi, Casey, Lundy, Mark, Termote, Celine

Subjects: “…machine learning…”
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High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning by Constenla-Villoslada, Susana, Liu, Yanyan, McBride, Linden, Ouma, Clinton, Mutanda, Nelson, Barrett, Christopher B.

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

Subjects: “…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 by Mulwa, D.F., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Subjects: “…machine learning…”
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Uncovering decolonial pedagogies for learning agroecological transitions: comparative analysis of South America cases by Bonatti, Michelle, Reynaldo, Renata Guimarães, Martín-López, Berta, Bolivar, Sergio, Cordero-Fernández, María, Miguel, Giovanna Chavez, Martin, Adriana, Hämmerle, Janika, Schröter, Barbara, Erismann, Carla, da Silva Rosa, Teresa, Hellin, Jon, Schlindwein, Izabella, Osorio, Álvaro Acevedo, Medina, Leonardo, Baldivieso, Carla, Eufemia, Luca, Jacobi, Johanna, Lobo Guerrero, Ana Maria, Sieber, Stefan

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

Subjects: “…e-learning…”
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EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models by Yu, Tingxi, Zhang, Hao, Chen, Shoukun, Gao, Shang, Liu, Ze, Wang, Jiankang, Crossa, Jose, Montesinos-Lopez, Osval Antonio, Hearne, Sarah, Li, Huihui

Subjects: “…machine learning…”
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