Resultados de búsqueda - "MACHINE LEARNING"

Satellite-based tracking of agricultural adaptation progress por Reymondin, Louis, Golden, Aaron, Spillane, Charles

Materias: “…machine learning…”
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Methylation in the CHH context allows to predict recombination in rice por Peñuela, Mauricio, Gallo-Franco, Jenny Johana, Finke, Jorge, Rocha, Camilo, Gkanogiannis, Anestis, Ghneim-Herrera, Thaura, Lorieux, Mathias

Materias: “…machine learning…”
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Machine-supported decision-making to improve agricultural training participation and gender inclusivity por Reeves, Norman Peter, Ramadan, Ahmed, Sal y Rosas Celi, Victor Giancarlo, Medendorp, John William, Harun-Ar-Rashid, Krupnik, Timothy J., Lutomia, Anne Namatsi, Bello-Bravo, Julia, Pittendrigh, Barry Robert

Materias: “…machine learning…”
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Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp. por Espitia-Buitrago, Paula, Cotes-Torres, José M., Mating'i Kimani, Adrian, Chidawanyika, Frank, Hernández, Luis Miguel, Cardoso Arango, Juan Andrés, Jauregui, Rosa

Materias: “…machine learning…”
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Toward sustainable land use planning: Land use mapping for Nandi County, Kenya por Hettiarachchi, Upeksha, Zhang, Wei, Zhe, Guo, Kibet, Walter

Materias: “…machine learning…”
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Estimating gender inequalities in labor-market outcomes using mobile phone data por Seymour, Greg, Follett, Lendie, Henderson, Heath

Materias: “…machine learning…”
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Insights from above: Satellite and machine learning for agriculture and food security in Myanmar por Guo, Zhe, Zhang, Xiaobo, Kanee, Sarah, Masias, Ian, You, Liangzhi, van Asselt, Joanna, Steinhuebel-Rasheed, Linda, Yang, Ruixin, Minten, Bart, Belton, Ben, Fang, Peixun, Liu, Shuo, Zhang, Kaifeng

Materias: “…machine learning…”
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Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses por Espitia Buitrago, Paula Andrea, Ruiz-Hurtado, Andres Felipe, Hernández, Luis Miguel, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres

Materias: “…machine learning…”
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Assessing climate resilience in rice production: Measuring the impact of the Millennium Challenge Corporation’s IWRM scheme in the Senegal River Valley using remote sensing and mac... por Fionnagáin, D.Ó., Geever, M., O’Farrell, J., Codyre, P., Trearty, R., Tessema, Y.M., Reymondin, Louis, Loboguerrero, Ana Maria, Spillane, Charlie, Golden, A

Materias: “…machine learning…”
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From Rangelands to Cropland, Land-Use Change and its impact on soil organic carbon variables in a Peruvian Andean Highlands: A Machine Learning Modeling approach por Carbajal, M., Ramírez, D., Turin, C., Schaeffer, S.M., Konkel, J., Ninanya, J., Rinza, J., De Mendiburu, F., Zorogastua, P., Villaorduña, L., Quiroz, R.

Materias: “…machine learning…”
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Systematic risk profiling: A novel approach with applications to Kenya, Rwanda, and Malawi por Mukashov, Askar, Robinson, Sherman, Thurlow, James, Arndt, Channing, Thomas, Timothy S.

Materias: “…machine learning…”
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Application of explainable AI techniques to site-specific and climate-smart management of maize systems in Colombia por Jaimes, Diana, Estrada, Oscar, Gonzalez, Arturo, Llanos Herrera, Lizeth, Ramirez Villegas, Julian

Materias: “…machine learning…”
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A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda por Rajendran, S.

Materias: “…machine learning…”
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Farmers agronomic management responses to extreme drought and rice yields in Bihar, India por Mkondiwa, Maxwell, Kishore, Avinash, Veetil, Prakashan Chellattan, Sherpa, Sonam, Saxena, Satyam, Pinjarla, Bhavani, Urfels, Anton, Poonia, Shishpal, Ajay, Anurag, Craufurd, Peter, Malik, Ram, McDonald, Andrew

Materias: “…machine learning…”
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Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya por Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

Materias: “…machine learning…”
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Digital Soil Mapping and Soil Quality Index Development for Malawi: Spatial Insights for Sustainable Land Management por Patil, Mukund, Choudhari, Pushpajeet L., Botoman, Lester, Agengnehu, Getachew, Desta, Gizaw

Materias: “…machine learning…”
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Assessing spatial suitability for agricultural mechanization in Ethiopia using expert-based and data-driven approaches por Gebrekidan, Bisrat Gebrekidan, Tadesse, Ephrem, Sida, Tesfaye Shiferaw

Materias: “…machine learning…”
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INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping por Cacciabue, Marco Polo Domingo, Marcone, Débora Natalia

Materias: “…Machine Learning…”
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Automatic detection of pomegranate fruit affected by blackheart disease using X-ray imaging por Munera, Sandra, Rodríguez-Ortega, Alejandro, Cubero, Sergio, Aleixos, Nuria, Blasco, José

Materias: “…Machine learning…”
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Machine learning model accurately predict maize grain yields in conservation agriculture systems in southern Africa por Muthoni, Francis K., Thierfelder, Christian L., Mudereri, B.T., Manda, J., Bekunda, Mateete A., Hoeschle-Zeledon, Irmgard

Materias: “…machine learning…”
Enlace del recurso