Search Results - "MACHINE LEARNING"

Technical report: Next-Generation decision support tool for data-driven fertilizer recommendations to enhance maize performance in Ethiopia by Mesfin, Tewodros, Abera, Wuletawu, Ebrahim, Mohammed, Tilaye, Amsalu, Tibebe, Degefie, Tamene, Lulseged, Adimassu, Zenebe, Liben, Feyera, Bekere, Jemal, Nazib, Nibras

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Detección de outliers en muestras de entrenamiento generadas mediante interpretación visual by Banchero, Santiago, Veron, Santiago Ramón, Petek, Mariana, Sarrailhe, Sofia, De Abelleyra, Diego

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Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods by García-Rodríguez, David, Catret, Pablo, Iglesias, Domingo J., Martínez, Juan J., López, Ernesto, García, Antonio

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Predicting infectious diseases: a bibliometric review on Africa by Phoobane, P., Masinde, M., Mabhaudhi, Tafadzwanashe

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Banana mapping in heterogenous smallholder farming systems using high-resolution remote sensing imagery and machine learning models with implications for banana bunchy top disease... by Alabi, T.R., Adewopo, Julius, Duke, O.P., Kumar, P. Lava

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Machine learning based groundwater prediction in a data-scarce basin of Ghana by Siabi, E. K., Dile, Y. T., Kabo-Bah, A. T., Amo-Boateng, M., Anornu, G. K., Akpoti, Komlavi, Vuu, C., Donkor, P., Mensah, S. K., Incoom, A. B. M., Opoku, E. K., Atta-Darkwa, T.

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Multiyear Maize management dataset collected in Chiapas, Mexico by Trevisan, Rodrigo G., Martin, Nicolas F., Fonteyne, Simon, Verhulst, Nele, Dorado Betancourt, Hugo Andres, Jiménez, Daniel, Gardeazábal Monsalve, Andrea

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Near real-time monitoring of cassava cultivation area by Phan, Trong Van, Reymondin, Louis, Vantalon, Thibaud, Delaquis, Erik, Nguyen, Thuy Thanh, Mienmany, Bandit

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Smallholder maize yield estimation using satellite data and machine learning in Ethiopia by Guo, Zhe, Chamberlin, Jordan, You, Liangzhi

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Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia by Leggesse, E. S., Derseh, W. A., Zimale, F. A., Tilahun, Seifu A., Meshesha, M. A.

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Malawi: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Duchoslav, Jan, Kankwamba, Henry, Jones, Eleanor, Thurlow, James

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Kenya: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Mbuthia, Juneweenex, Omune, Lensa, Jones, Eleanor, Thurlow, James

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Rwanda: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Warner, James, Jones, Eleanor, Thurlow, James

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Nepal: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Thurlow, James, Dorosh, Paul A., Jones, Eleanor

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Agricultural insurance: Policies and programs for reducing farmer risk by Ceballos, Francisco, Hazell, Peter B. R., Hill, Ruth Vargas, Kramer, Berber

Subjects: “…machine learning…”
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BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp. by Arrechea-Castillo, Darwin Alexis, Espitia-Buitrago, Paula, Arboleda, Ronald David, Gallego-Muñoz, Ana Marcela, Moreno-Domínguez, Valeria, Gaviria-Valencia, Juan Manuel, Bravo, Valeria Andrea, Ruiz-Hurtado, Andres Felipe, Jauregui, Rosa Noemi, Cardoso, Juan Andres

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Navigating salinity challenges in the polders of coastal Bangladesh: AI-based advisories for farmers and water managers by Jampani, Mahesh, Matheswaran, Karthikeyan, Sena, Dipaka, Mondal, M., Chakraborty, Shreya, Joshi, Deepa

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Advanced technologies for reducing greenhouse gas emissions from rice fields: Is hybrid rice the game changer? by Khatibi, Seyed Mahdi Hosseiniyan, Adviento-Borbe, Maria Arlene, Dimaano, Niña Gracel, Radanielson, Ando M., Ali, Jauhar

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Una plataforma basada en machine learning para identificar variedades de duraznero con mayores chances de adaptación a escenarios climáticos futuros by Aballay, Maximiliano Martín, Chirino, Julian Santiago, Valentini, Gabriel Hugo, Sanchez, Gerardo

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Predicting yields using biophysical crop simulations, machine learning and remote sensing in India by CGIAR Platform for Big Data in Agriculture

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