Resultados de búsqueda - "learning"

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

Materias: “…machine learning…”
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Playing games to strengthen groundwater governance in rural India por Meinzen-Dick, Ruth S., Bruns, Bryan Randolph, Sanil, Richu

Materias: “…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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Co-production of Knowledge in Multi-stakeholder Processes: Analyzing Joint Experimentation as Social Learning por Akpo, Essegbemon, Crane, Todd A., Vissoh, Pierre V., Tossou, Rigobert C.

Materias: “…learning…”
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CGIAR Initiative on AgriLAC Resiliente: Annual Technical Report 2022 por CGIAR Initiative on AgriLAC Resiliente

Materias: “…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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CGIAR Research Initiative on AgriLAC Resiliente: Annual Technical Report 2023 por CGIAR Initiative on AgriLAC Resiliente

Materias: “…learning…”
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A teacher unlike me: Social distance, learning, and intergenerational mobility in developing countries por Karachiwalla, Naureen

Materias: “…learning…”
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Factors affecting performance of agricultural extension: Evidence from Democratic Republic of Congo por Ragasa, Catherine, Ulimwengu, John M., Randriamamonjy, Josee, Badibanga, Thaddee

Materias: “…institutional 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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Credit constraints, clustering, and profitability among Chinese firms por Ruan, Jianqing, Zhang, Xiaobo

Materias: “…organizational learning…”
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Aid effectiveness and capacity development: Implications for economic growth in developing countries por Sanyal, Prabuddha, Babu, Suresh Chandra

Materias: “…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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Social learning, selection, and HIV infection: Evidence from Malawi por Yamauchi, Futoshi, Ueyama, Mika

Materias: “…social learning…”
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