Resultados de búsqueda - "machine learning"

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

Materias: “…machine learning…”
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Detección de outliers en muestras de entrenamiento generadas mediante interpretación visual por Banchero, Santiago, Veron, Santiago Ramón, Petek, Mariana, Sarrailhe, Sofia, De Abelleyra, Diego

Materias: “…Machine Learning…”
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Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods por García-Rodríguez, David, Catret, Pablo, Iglesias, Domingo J., Martínez, Juan J., López, Ernesto, García, Antonio

Materias: “…machine learning…”
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Predicting infectious diseases: a bibliometric review on Africa por Phoobane, P., Masinde, M., Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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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... por Alabi, T.R., Adewopo, Julius, Duke, O.P., Kumar, P. Lava

Materias: “…machine learning…”
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Machine learning based groundwater prediction in a data-scarce basin of Ghana por 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.

Materias: “…machine learning…”
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Multiyear Maize management dataset collected in Chiapas, Mexico por Trevisan, Rodrigo G., Martin, Nicolas F., Fonteyne, Simon, Verhulst, Nele, Dorado Betancourt, Hugo Andres, Jiménez, Daniel, Gardeazábal Monsalve, Andrea

Materias: “…machine learning…”
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Near real-time monitoring of cassava cultivation area por Phan, Trong Van, Reymondin, Louis, Vantalon, Thibaud, Delaquis, Erik, Nguyen, Thuy Thanh, Mienmany, Bandit

Materias: “…machine learning…”
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Smallholder maize yield estimation using satellite data and machine learning in Ethiopia por Guo, Zhe, Chamberlin, Jordan, You, Liangzhi

Materias: “…machine learning…”
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Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia por Leggesse, E. S., Derseh, W. A., Zimale, F. A., Tilahun, Seifu A., Meshesha, M. A.

Materias: “…machine learning…”
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Malawi: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Duchoslav, Jan, Kankwamba, Henry, Jones, Eleanor, Thurlow, James

Materias: “…machine learning…”
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Kenya: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Mbuthia, Juneweenex, Omune, Lensa, Jones, Eleanor, Thurlow, James

Materias: “…machine learning…”
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Rwanda: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Warner, James, Jones, Eleanor, Thurlow, James

Materias: “…machine learning…”
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Nepal: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Thurlow, James, Dorosh, Paul A., Jones, Eleanor

Materias: “…machine learning…”
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Agricultural insurance: Policies and programs for reducing farmer risk por Ceballos, Francisco, Hazell, Peter B. R., Hill, Ruth Vargas, Kramer, Berber

Materias: “…machine learning…”
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BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp. por 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

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

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

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

Materias: “…Machine Learning…”
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Predicting yields using biophysical crop simulations, machine learning and remote sensing in India por CGIAR Platform for Big Data in Agriculture

Materias: “…machine learning…”
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