Search Results - "Learning"

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

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

Subjects: “…learning…”
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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

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

Subjects: “…learning…”
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CGIAR Initiative on AgriLAC Resiliente: Annual Technical Report 2022 by CGIAR Initiative on AgriLAC Resiliente

Subjects: “…learning…”
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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

Subjects: “…machine learning…”
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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

Subjects: “…machine learning…”
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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

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

Subjects: “…machine learning…”
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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

Subjects: “…machine learning…”
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CGIAR Research Initiative on AgriLAC Resiliente: Annual Technical Report 2023 by CGIAR Initiative on AgriLAC Resiliente

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

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

Subjects: “…institutional learning…”
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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

Subjects: “…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... 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

Subjects: “…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 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.

Subjects: “…machine learning…”
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Credit constraints, clustering, and profitability among Chinese firms by Ruan, Jianqing, Zhang, Xiaobo

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

Subjects: “…learning…”
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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.

Subjects: “…machine learning…”
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Social learning, selection, and HIV infection: Evidence from Malawi by Yamauchi, Futoshi, Ueyama, Mika

Subjects: “…social learning…”
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