Resultados de búsqueda - "learning"

Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning por Towett, Erick K., Drake, L. B., Acquah, G. E., Haefele, S. M., McGrath, S. P., Shepherd, Keith D.

“…Two types of machine learning methods, forest regression and extreme gradient boosting, were used with data from both pXRF and DRIFT-MIR spectroscopy. …”
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Report on the experience with and lessons learned of establishment of demoplots with improved forages and field days for farmers and dairy cooperatives por Ohmstedt, Uwe

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Payment for Forest Environmental Services (PFES) policy learning tool: A case study from Vietnam por Pham Thu Thuy, Dang, T.N., Nguyen, D.T., Le, M.T., Pham, V.T., Hoang, T.L., Le, D.N.

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Advancing Forest Tenure Security in Nyeri County, Kenya: Learnings from participatory prospective analysis (PPA) por Mukasa, C., Tibazalika, A., Wamala, P., Okiror, G., Ngatia, G., Maina, P., Mwangi, E.

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Supporting enterprises in capturing waste value: lessons learned from the CapVal sanitation project in Ghana por Mansour, G., Darteh, B., Jabagi, E., Nikiema, Josiane, Cofie, Olufunke O.

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Synthesis of lessons-learned in successful scale-out of Climate Smart Cocoa through the private sector in Ghana por Dalaa, Mustapha Alasan, Saeed, Abdul-Razak, Deffor, Eric Worlanyo, Kofituo, Rich Kofi, Asare, Richard

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TU4.3: Gender Integration in SERVIR agriculture services: Project examples and opportunities for wider learning por Cooper Hall, Laura

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Strengthening entrepreneurial capacities of women and youth-owned pig value chain businesses in Uganda: Lessons learned por Ouma, Emily A., Naggujja, Janet, Wandera, Noah, Lutakome, Pius, Lukuyu, Ben A.

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Scaling readiness: Learnings from applying a novel approach to support scaling of food system innovations por Schut, Marc, Leeuwis, Cees, Sartas, Murat, Taborda Andrade, Luis Alejandro, Etten, Jacob van, Müller, Anna, Tran, Thierry, Chapuis, Arnaud, Thiele, Graham

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Machine learning model accurately predict maize grain yields in conservation agriculture systems in southern Africa por Muthoni, Francis K., Thierfelder, Christian L., Mudereri, B.T., Manda, J., Bekunda, Mateete A., Hoeschle-Zeledon, Irmgard

Materias: “…machine learning…”
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An ICT strategy based upon E-Teaching and E-Learning in response to the COVID-19 crisis in Africa por Woomer, P.L., Mulei, W., Maina, S.K.

“…This paper describes the process involved in that operational pivot, particularly concerning the shift from electronic teaching by instructors towards distance electronic learning by students. Key issues addressed are the consolidation of digital applications, development of a mobile-based toolbox for use by young farmers, and constraints to device ownership. …”
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E-learning module for reproductive technologies, including mass synchronization and artificial insemination, for sheep and goats in Ethiopia por CGIAR Research Program on Livestock

Materias: “…learning…”
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Annual gender research virtual conference to showcase research, receive feedback, and promote mutual learning and collaboration por CGIAR GENDER Platform

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Economywide factors affecting agricultural growth and rural transformation: Highlights, lessons learned, and priorities for One CGIAR por CGIAR Research Program on Policies, Institutions, and Markets

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A protocol for measuring disease resistance to Cassava Bacterial Blight, using machine-learning image analysis por Pardo, Juan Manuel, Jiménez Polo, Jenyfer, Rodríguez, Rafael, Leiva Sandoval, Ana Maria, Cuéllar, Wilmer Jose

Materias: “…machine learning…”
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Asian Mega-Deltas Initiative builds learning alliance to address climate change issues in the Mekong Delta por Bernardo, Eisen

“…To form a learning alliance that has an interest to address climate-related issues in the Mekong Delta of Cambodia, the CGIAR Initiative on Securing the Food Systems of Asian Mega-Deltas for Climate and Livelihood Resilience ( AMD ) conducted a workshop to build a network of diverse stakeholders in the provinces of Takeo and Prey Veng in Cambodia.…”
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COVID-19 impacts on food systems, poverty, and diets: Lessons learned from country-level analyses por Pauw, Karl, Thurlow, James

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A protocol for measuring Cassava Bacterial Blight disease progression using machine-learning image analysis por Pardo, Juan Manuel, Rodríguez, Rafael, Jiménez Polo, Jenyfer, Cuéllar, Wilmer Jose

Materias: “…machine learning…”
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Operations research and machine learning to manage risk and optimize production practices in agriculture: good and bad experience por Cock, James H., Jiménez, Daniel, Dorado, Hugo, Oberthür, Thomas

Materias: “…machine learning…”
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Technical Report on Face to Face Training on “Introduction to e-learning courses in the framework of the SWC@scale project” por Rudiger, Udo

“…Technical Report on Face to Face Training on “Introduction to e-learning courses in the framework of the SWC@scale project”.…”
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