Resultados de búsqueda - Open learning.

Estimating Leaf Area Index of Wheat Using UAV-Hyperspectral Remote Sensing and Machine Learning por Rejith, Rajan G., Sahoo, Rabi N., Ranjan, Rajeev, Kondraju, Tarun, Bhandari, Amrita, Gakhar, Shalini

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Alternative learning technologies for developing capacity in animal breeding and genetics in middle and low income countries por Ojango, Julie M.K., Rege, J.E.O., Dror, Iddo, Kugonza, Donald R., Chagunda, Mizeck G.G., Mrode, Raphael A., Philipsson, J., Okeyo Mwai, Ally

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Equitable and Inclusive Landscape Restoration Planning: Learning from a Restoration Opportunity Assessment in India por Singh, R., Shelar, K., Duraisami, M., Anderson, W., Gautam, R.S.

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Lessons learned from the evaluation of Helen Keller International’s enhanced homestead food production program por Olney, Deanna K., Dillon, Andrew, Ruel, Marie T., Nielsen, Jennifer

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A Catalyst toward Sustainability? Exploring Social Learning and Social Differentiation Approaches with the Agricultural Poor por Shaw, Alison, Kristjanson, Patricia M.

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Improving gender equity in irrigation: application of a tool to promote learning and performance in Malawi and Uzbekistan por Lefore, Nicole, Weight, Elizabeth, Mukhamedova, Nozilakhon

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Machine learning innovations to improve maize nutrient management recommendations in the eastern IndoGangetic Plains por CGIAR Research Program on Maize

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Categorizing the songbird market through big data and machine learning in the context of Indonesia’s online market por Okarda, B., Muchlish, U., Kusumadewi, S.D., Purnomo, H.

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Community voices on climate, peace and security: A social learning approach to programming environmental peacebuilding por Medina, Leonardo, Ensor, Marisa, Schapendonk, Frans, Sieber, Stefan, Pacillo, Grazia, Läderach, Peter R.D., Hellin, Jon, Bonatti, Michelle

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From waste to value: key insights and lessons learned from biogas initiatives in the Global South por Somorin, Tosin, Bodach, Susanne, Tripathi, Mansi

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Identifying climate information services users and their needs in sub-Saharan Africa: A learning agenda por Carr, Edward R., Goble, Rob, Rosko, Helen M., Vaughan, Catherine, Hansen, James

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Reforestation, livelihoods and income equality: Lessons learned from China's Conversion of Cropland to Forest Program por Moioli, C., Shrestha, A., Roeser, D., Wang, G., Sunderland, T.C.H., Zerriffi, H.

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Implementer-Led Evaluation and Learning (IMPEL) evaluation of SPIR II RFSA - Midline survey report por Gilligan, Daniel O., Hirvonen, Kalle, Leight, Jessica, Tesfaye, Haleluya

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Event rewind: Learning support for a multi-country climate resilience programme for food security por Hassain, Arif, van Gilst, Daniel, Leight, Jessica, de Brauw, Alan, Laderach, Peter, Mekuria, Wolde, Kamau, David, Grassini, Christian, Philip, Serene, Timothy, Adeyinka Jacob, Ochuma, Lynett, Kosec, Katrina, Gilligan, Daniel O., Ruckstuhl, Sandra

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Predicting turbidity dynamics in small reservoirs in Central Kenya using remote sensing and machine learning por Steinbach, S., Bartels, A., Rienow, A., Kuria, B. T., Zwart, Sander J., Nelson, A.

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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software por Crossa, José, Martini, Johannes W.R., Vitale, Paolo, Perez-Rodriguez, Paulino, Costa-Neto, Germano, Fritsche-Neto, Roberto, Runcie, Daniel E., Cuevas, Jaime, Toledo, Fernando H., Huihui Li, De Vita, Pasquale, Gerard, Guillermo S., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Bentley, Alison R., Lillemo, Morten, Ortiz, Rodomiro, Montesinos-Lopez, Osval A., Montesinos-López, Abelardo

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Gender capacitation of extension and rural advisory services in West and Central Africa: the learning journey and outcomes por Maiga, Mariame, Gebremedhin, Bethel, Kpadonou, G Esaie, Ganyo, Komla Kyky, Dieng, Fatou, Segnon, Alcade Christel, Lamien, Nieyidouba, Zougmore, Robert Bellarmin

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Food safety in Vietnam: where we are at and what we can learn from international experiences por Hung Nguyen-Viet, Tran Thi Tuyet Hanh, Unger, Fred, Dang Xuan Sinh, Grace, Delia

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Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm por Al Mamun, Md. Abdullah, Sarker, Mou Rani, Sarkar, Md. Abdur Rouf, Roy, Sujit Kumar, Nihad, Sheikh Arafat Islam, McKenzie, Andrew M., Hossain, Md. Ismail, Kabir, Md. Shahjahan

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Scaling Diversification Options In Rice-Based Systems: Insights And Lessons Learned From 2022 To 2025 por Suh, Neville Ndohnwi, Doumbia, Salif, Dossou Yovo, Elliott Ronald

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