Resultados de búsqueda - Open learning.

Lessons learned from black soldier fly farming for circular livelihoods in Kenya por Adamtey, Noah, Kibet, J., Mwangi, E., Somorin, Tosin, Gebrezgabher, Solomie A.

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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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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

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Mechanisms for increasing the accountability of teachers and schools in rural Pakistan to improve learning outcomes por Asad, Saher, Habib, Masooma, Karachiwalla, Naureen, Kosec, Katrina, Leaver, Clare, ur Rehman, Attique

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Affordability and Willingness to Pay for Hybrid Drought Tolerant Maize Seed: Anchoring and Learning por Nakanwagi, Josephine

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Relevant loci for milk production in dairy cattle, obtained by machine learning algorithms por Raschia, Maria Agustina, Ríos, Pablo J., Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

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Machine learning algorithms identified relevant SNPs for milk fat content in cattle por Ríos, Pablo J., Raschia, Maria Agustina, Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

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A learning network approach to resolve conservation challenges in the Ngorongoro Conservation Area por Harris, W. Edwin, Kort, S.R. de, Bettridge, C.M., Borges, J., Cain, B., Dulle, H.I., Fyumagwa, R., Gadiye, D., Jones, M., Kahana, L., Kibebe, J., Kideghesho, J.R., Kimario, F.F., Kisingo, A., Makari, F., Martin, E., Martin, A., Masuruli, M.B., Melubo, K., Mossman, H.L., Munishi, L., Mwaya, R., Nasi, R., Nyakunga, O., Price, E., Shoo, R.A., Strange, E.F., Symeonakis, E., Fa, J.E.

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Catalyzing and learning through private sector engagement for biodiversity conservation (CAL-PSE): a strategic partnership of the Alliance of Bioversity International & the Interna... por Deboni, Fabio, Caldas, Bernardo

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Predicting yields using biophysical crop simulations, machine learning and remote sensing in India por CGIAR Platform for Big Data in Agriculture

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Ultra-processed food consumption is associated with variations in daily routines in elementary schoolchildren during the COVID-19 pandemic in Chile por Fretes, Gabriela, Corvalán, Camila, Economos, Christina D., Wilson, Norbert L.W., Cash, Sean B.

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Excellence in Agronomy (EiA) product - CG Labs por Excellence in Agronomy

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Experiences from India por Falk, Thomas

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Business model testing and advisory with Root Capital and Sustainable Food Lab por Root Capital

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Predicting aflatoxin risk in maize using machine learning and satellite data in East and Southern Africa por Gachoki, Stella, Muthoni, Francis, Mahuku, George S., Atehnkeng, J., Tripathi, Leena

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Mutual learning and partnership among developing countries in Asia can help address alarming food safety issues por Chi Nguyen

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Report on Innovation Packages and Scaling Readiness (IPSR) and Reflect: Focus Group Discussion part of the 2022 Technical Report Learning and Optimization process por CGIAR System Management Office

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Mapping major land use types in Nandi County using remote sensing and machine learning por Guo, Zhe, Walter, Kibet

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Advancing an internet research agenda for CGIAR Focus Climate Security por Carneiro, Bia, Tucci, Giulia, Taiwo, Ibukun, Olomu, Rukeme

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Mapping mechanization suitability using machine learning, presence data and spatial co-variates: Methodological approach por Adhikari, Subash, Koirala, Pankaj, Kafle, Sagar, Mponela, Powell

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