Resultados de búsqueda - Open learning.

CCAFS Climate Smart Agriculture Learning Platform, South Asia, September 2017 por CGIAR Research Program on Climate Change, Agriculture and Food Security

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Aqua-based business school with gender and climate perspective: Learning guide (filipino) por International Potato Center

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Estimating elements susceptible to urban flooding using multisource data and machine learning por Asfaw, Wegayehu, Rientjes, T., Bekele, Tilaye Worku, Haile, Alemseged Tamiru

“…This study analyzed twenty-eight FCFs derived from open-access earth observation datasets to develop FSP model for a highly urbanized Akaki catchment, which hosts and surrounds the capital city of Ethiopia, Addis Ababa. …”
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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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Establishing demonstration farms in Ghana: Learning, observation and discussion among smallholder farmers por Jizorkuwie, Abdul-latif Baamonyor, Ofosu-Ampong, Kingsley, Akpatsu, Isaac Boatey, Abera, Wuletawu

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Oxfam America: learning from the System of Rice Intensification (SRI) in northern Vietnam por Castillo, Gina E., Le, Nguyet Minh, Pfeifer, Kimberly

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What have we learned and where do we go from here? por Campese, J., Sunderland, Terry C.H., Greiber, T., Oviedo, G.

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Processes in the NBDC: People, platforms, innovation systems, networking, learning, pollicies, and institutions por Tucker, Josephine, Kessagne, A., Swaans, Cornelis P.M., Amede, Tilahun, Adenew, B., Duncan, Alan J.

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Lessons learned and ways forward on CGIAR capacity development: A discussion paper por Staiger Rivas, Simone, Dror, Iddo, Babu, Suresh Chandra, Rudebjer, P.G., Kosina, Petr, Diop, N.N., Maru, Joyce, Bamba, Zoumana

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

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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

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Summary of the One Health scientific conference: International practices and lessons learned for Vietnam por Vietnam International Cooperation Department

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Social security: What can developing countries learn from developed countries? por Dethier, Jean-Jacques

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Companion modelling for collective learning on land & water management in northern Thailand highlands por Barnaud, C., Promburom, T., Bousquet, Francois, Promburom, P., Trébuil, Guy

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Overview - Agrifood systems transformation in South Asia: An agenda for impact and learning at scale por Menon, Purnima, Krupnik, Timothy J.

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Learning alliances with development partners: a framework for scaling out research results por Lundy, Mark M.

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Climate Smart Agriculture Learning Platform (CSALP) South Asia Issue 10 por CGIAR Research Program on Climate Change, Agriculture and Food Security

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Insights from above: Satellite and machine learning for agriculture and food security in Myanmar por Guo, Zhe, Zhang, Xiaobo, Kanee, Sarah, Masias, Ian, You, Liangzhi, van Asselt, Joanna, Steinhuebel-Rasheed, Linda, Yang, Ruixin, Minten, Bart, Belton, Ben, Fang, Peixun, Liu, Shuo, Zhang, Kaifeng

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Farmer participatory research activities at two sites in the Philippines: initial results and learnings por Gabunada Junior, FA

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Appreciative inquiry: An approach for learning and change based on our own best practices por Acosta, A.S., Douthwaite, Boru

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