Search Results - "Machine Learning"

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

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Methylation in the CHH context allows to predict recombination in rice by Peñuela, Mauricio, Gallo-Franco, Jenny Johana, Finke, Jorge, Rocha, Camilo, Gkanogiannis, Anestis, Ghneim-Herrera, Thaura, Lorieux, Mathias

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Machine-supported decision-making to improve agricultural training participation and gender inclusivity by 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

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

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Toward sustainable land use planning: Land use mapping for Nandi County, Kenya by Hettiarachchi, Upeksha, Zhang, Wei, Zhe, Guo, Kibet, Walter

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Estimating gender inequalities in labor-market outcomes using mobile phone data by Seymour, Greg, Follett, Lendie, Henderson, Heath

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Insights from above: Satellite and machine learning for agriculture and food security in Myanmar by 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

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

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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... by Fionnagáin, D.Ó., Geever, M., O’Farrell, J., Codyre, P., Trearty, R., Tessema, Y.M., Reymondin, Louis, Loboguerrero, Ana Maria, Spillane, Charlie, Golden, A

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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 by Carbajal, M., Ramírez, D., Turin, C., Schaeffer, S.M., Konkel, J., Ninanya, J., Rinza, J., De Mendiburu, F., Zorogastua, P., Villaorduña, L., Quiroz, R.

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Systematic risk profiling: A novel approach with applications to Kenya, Rwanda, and Malawi by Mukashov, Askar, Robinson, Sherman, Thurlow, James, Arndt, Channing, Thomas, Timothy S.

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Application of explainable AI techniques to site-specific and climate-smart management of maize systems in Colombia by Jaimes, Diana, Estrada, Oscar, Gonzalez, Arturo, Llanos Herrera, Lizeth, Ramirez Villegas, Julian

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A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda by Rajendran, S.

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Farmers agronomic management responses to extreme drought and rice yields in Bihar, India by 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

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Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya by Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

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Digital Soil Mapping and Soil Quality Index Development for Malawi: Spatial Insights for Sustainable Land Management by Patil, Mukund, Choudhari, Pushpajeet L., Botoman, Lester, Agengnehu, Getachew, Desta, Gizaw

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Assessing spatial suitability for agricultural mechanization in Ethiopia using expert-based and data-driven approaches by Gebrekidan, Bisrat Gebrekidan, Tadesse, Ephrem, Sida, Tesfaye Shiferaw

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

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Automatic detection of pomegranate fruit affected by blackheart disease using X-ray imaging by Munera, Sandra, Rodríguez-Ortega, Alejandro, Cubero, Sergio, Aleixos, Nuria, Blasco, José

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

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