Resultados de búsqueda - "learning"

Pathways from livestock to improved human nutrition: lessons learned in East Africa por Flax, V.L., Ouma, Emily A., Baltenweck, Isabelle, Omosa, Esther B., Girard, A.W., Jensen, Nathaniel D., Dominguez-Salas, Paula

“…In this analysis, we compiled lessons learned from Livestock CRP projects and identified recommendations for nutrition-sensitive livestock programming and research in the context of the literature and through the development of an updated livestock-to-nutrition pathways framework. …”
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Market systems development application in the pig value chain in Uganda: Lessons learned por Ouma, Emily A., Naggujja, Janet, Katende, Robert, Wankya, Ronald, Ariho, Brian, Lutakome, Pius, Lukuyu, Ben A.

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Foresight for income and employment: What can we learn for agricultural research for development por Kruseman, Gideon K., Dermawan, A., Diagne, M., Enahoro, Dolapo K., Frija, A., Gatto, M., Gbegbelegbe, Sika, Komarek, A.M., Mausch, K., Mottaleb, K., Nedumaran, S., Tesfaye, K., Valera, Harold Glenn

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Approaches for targeting small farmers: application to fodder technologies and some lessons learned por Staal, Steven J., Thornton, Philip K.

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Machine learning innovations for rapid assessments in wheat and rice systems in South Asia. por CGIAR Research Program on Wheat

Materias: “…learning…”
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New machine learning models that predict the performance of seed varieties in particular conditions por CGIAR Platform for Big Data in Agriculture

Materias: “…learning…”
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Climate-Smart Village roving workshop as a farmer-to-farmer learning platform por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…learning…”
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Case study on lessons learned on the delivery of biofortified crops in India, Nigeria, and Uganda por CGIAR Research Program on Agriculture for Nutrition and Health

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Inclusive and efficient value chains: Highlights, lessons learned, and priorities for One CGIAR por CGIAR Research Program on Policies, Institutions, and Markets

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Social protection for agriculture and resilience: Highlights, lessons learned, and priorities for One CGIAR por CGIAR Research Program on Policies, Institutions, and Markets

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Technological innovation and sustainable intensification: Highlights, lessons learned, and priorities for One CGIAR por CGIAR Research Program on Policies, Institutions, and Markets

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Machine learning based groundwater prediction in a data-scarce basin of Ghana por Siabi, E. K., Dile, Y. T., Kabo-Bah, A. T., Amo-Boateng, M., Anornu, G. K., Akpoti, Komlavi, Vuu, C., Donkor, P., Mensah, S. K., Incoom, A. B. M., Opoku, E. K., Atta-Darkwa, T.

Materias: “…machine learning…”
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Time to scale is now-now: CGIAR-GIZ scaling networking and learning event por Schut, Marc, Pircher, Thomas

Materias: “…learning…”
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Mekong River Delta crop mapping using a machine learning approach por Ghosh, Surajit, Wellington, Michael, Holmatov, Bunyod

Materias: “…machine learning…”
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Report on integrating WEF Nexus into teaching and learning and on the outcome of the short training programme por Tsvuura, Susan, Senzanje, A., Mudhara, M., Mabhaudhi, Tafadzwanashe

Materias: “…learning…”
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Smallholder maize yield estimation using satellite data and machine learning in Ethiopia por Guo, Zhe, Chamberlin, Jordan, You, Liangzhi

Materias: “…machine learning…”
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Using machine learning for image-based analysis of sweetpotato root sensory attributes por Nakatumba-Nabende, J., Babirye, C., Tusubira, J., Mutegeki, H., Nabiryo, A., Murindanyi, S., Katumba, A., Nantongo, J.S., Sserunkuma, E., Nakitto, M., Ssali, R.T., Makunde, G.S., Moyo, M., Campos, Hugo

“…In this paper, we describe an approach to apply machine learning techniques with image-based analysis to predict flesh-colour and mealiness sweetpotato sensory attributes. …”
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Public-private partnerships for the circular bio-economy in the Global South: lessons learned por Taron, Avinandan, Majumder, A., Bodach, Susanne, Agbefu, Dzifa

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What can be learned from economic transformation and agricultural transition experiences in MENA? por Nin-Pratt, Alejandro

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Revitalizing rural China: What lessons can be learned from international experiences? por Fan, Shenggen

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