Resultados de búsqueda - "learning"

Predicting optical water quality indicators from remote sensing using machine learning algorithms in tropical highlands of Ethiopia por Leggesse, E.S., Zimale, Fasikaw A., Sultan, D., Enku, T., Srinivasan, R., Tilahun, Seifu A.

Materias: “…machine learning…”
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Learning from Each Other: Experience Sharing Workshop on Implementation of Smart Pack and CBBP among Ethiopian Public Universities por Belay, Berhanu, Getachew, Tesfaye, Haile, Aynalem

“…The villages serve as a learning site and sources of longitudinal data to hasten research and paved the way for demonstrating CBBP that showcased impactful community services through CBBP. …”
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Hydro-climatic extremes in a medium range river basin in western Nepal: learning from analysis of observed data por Aryal, Anil, Pandey, V. P., Talchabhadel, R., Thapa, B.R.

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Collaboration between the World Bank and ECFS in developing case study approach for food policy in Eurasia: Experience and lessons learned por Hakobyan, Artavazd

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Field experiences and lessons learned from applying participatory system dynamics modelling to sustainable water and agri-food systems por Kotir, Julius H., Jagustovic, Renata, Papachristos, George, Zougmore, Robert B., Kessler, Aad, Reynolds, Martin, Ouedraogo, Mathieu, Ritsema, Coen J., Aziz, Ammar Abdul, Johnstone, Ron

“…While it is common practice to involve stakeholders in participatory modelling processes, their comprehensive documentation and the lessons learned remain scarce. In this paper, we share our experience of engaging stakeholders throughout the entire system dynamics modelling process. …”
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CWANA Regional Agronomy Community of Practice (ACoP) to exchange knowledge and learnings to accelerate adoption of science based innovations por Devkota Wasti, Mina Kumari, Devkota, Krishna

“…The establishment of ACoP in these countries is crucial to the exchange and dissemination of knowledge and learnings and foster collaboration amongst scientists, which is hindering technology transfer and overall agricultural development. …”
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How Mitigate+ ensures delivery of impact: A quick overview of our monitoring, evaluation, learning and impact assessment strategy por Camilo, Karen, Armenta, Francisco, Reyes, Byron A.

“…As such, each of its research initiatives has a monitoring, evaluation, learning and impact assessment, or MELIA, component. …”
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The role of social media in participatory learning and scaling: the case of telegram group in scaling landscape- specific fertilizer application in Ethiopia por International Crops Research Institute for the Semi-Arid Tropics

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Lessons learned brief for Ghana and Tanzania: External evaluation of mobile phone technology-based nutrition and agriculture advisory services por Barnett, Inka, Batchelor, Simon, Billings, Lucy, Faith, Becky, Gilligan, Daniel O., Gordon, Jessica, Hidrobo, Melissa, Palloni, Giordano, Scott, Nigel

“…This briefing summarises key evaluation findings and presents lessons learned on three key topics: 1. The design and implementation of mobile phone-based information services to promote behaviour change; 2. …”
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An innovation systems approach to capacity development: Insights from learning exercises with the Feed the Future Fish Innovation Lab in Nigeria por Ye, Jia Yi, Brouwers, Jan, De Roo, Nina

“…The engagement—which we frame as a case study in systems-oriented capacity development—was conducted in 2019, and included a series of multistakeholder learning events held in Ibadan, Nigeria, during early September 2019.…”
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Agricultural mechanization and south-south knowledge exchange: What can Ethiopian and Kenyan policymakers learn from Bangladesh’s experience? por Animaw, Addisu Tadege, Nkanya, Jasper Alfred Mutegi, Nyakiba, John Mogaka, Woldemariam, Tamiru Habte, Takeshima, Hiroyuki

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Agricultural mechanization and south-south knowledge exchange: What can Ghanaian and Nigerian policymakers learn from Bangladesh’s experience? por Aboagye, Patrick Ohene, Abubakar, Abdullahi Garba, Adama, Abdulai Iddrisu, Lawal, Akeem, Musa, Aliyu Abdullahi, Takeshima, Hiroyuki

“…While West African countries, particularly Ghana, are still relatively land abundant compared to Bangladesh, seeking the right balance across various models is important for achieving mechanization growth across diverse types of farms. Learning from the experience of agricultural mechanization in Bangladesh offer useful inspirations toward how widespread mechanization growth can happen for smallholders in Ghana and Nigeria.…”
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Empowering farmers through learning: Establishing field demonstrations in the upper west region of Ghana under the excellence in agronomy initiative por Jizorkuwie, Abdul-latif Baamonyor, Ofosu-Ampong, Kingsley, Akpatsu, Isaac Boatey, Abera, Wuletawu

“…Empowering Farmers Through Learning: Establishing Field Demonstrations in the Upper West Region of Ghana under the Excellence in Agronomy Initiative…”
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Filling the learning gap in program implementation using participatory monitoring and evaluation: Lessons from farmer field schools in Zanzibar por Zerfu, Elias, Kebede, Sindu W.

“…However, this paper argues that after the initial investment is made, the payback from using PM&E is much higher both in terms of grassroots-level learning, empowerment, and capacity building and in terms of higher-level strategic decision making which enhances impact.…”
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Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI por Gomez, Daniela, Selvaraj, Michael Gomez, Casas, Jorge, Mathiyazhagan, Kavino, Rodriguez, Michael, Assefa, Teshale, Mlaki, Anna, Nyakunga, Goodluck, Kato, Fred, Mukankusi, Clare, Girma, Ellena, Mosquera, Gloria, Arredondo, Victoria, Espitia, Ernesto

“…This accomplishment showcases the integration of deep learning into our production pipeline, a process known as DLOps. …”
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A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations por Obahoundje, Salomon, Tilahun, Seifu A., Zemadim, Birhanu, Schmitter, Petra S.

Materias: “…machine learning…”
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Summary report of the National Advisory and Learning Committee (NALC) workshop, ARARI, Bahir Dar, 28-29 December 2008 por International Livestock Research Institute

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Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR por Herath, Achini, Tiozon, Rhowell Jr., Kretzschmar, Tobias, Sreenivasulu, Nese, Mahon, Peter, Butardo, Vito

Materias: “…machine learning…”
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Multistakeholder meeting report: Lessons learned from research on mobility outcomes and food & nutrition security in Vietnam’s Mekong Delta por Vaselli, Alessandra, Duong, Thanh Thi, Savelli, Adam, Tuan, Phuong Thi Mai, Truong, May Tuyet, Huynh Thi, Tuyen Thanh

“…The event focused on Lessons Learned from Research on Mobility Outcomes and Food & Nutrition Security in Vietnam’s Mekong Delta and involved representatives from CIAT and NIN; CDC Bac Lieu, Ca Mau, Can Tho, Soc Trang, Tien Giang provinces; Can Tho University, Can Tho University of Medicine and Pharmacy, Can Tho Statistics Department and Department of Population and Family Planning; and Dong Thap Department of Health (DoH). …”
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Status and capacity of Farmer Training Centers (FTCs) in the Improving Productivity and Market Success (IPMS) Pilot Learning Woredas (PLWs) por Lemma, T., Sehai, Ermias, Hoekstra, Dirk

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