Resultados de búsqueda - "learning"

Facilitating learning and capacity strengthening: lessons from the reaching agents of change project in scaling up orange-fleshed sweetpotato (OFSP) por Mbabu, A.N., Munyua, H.M., Mulongo, G., Mkumbira, J., David, S.

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“COMING TOGETHER” (Batanai): Learning from Zimbabwe’s experiences with community biodiversity conservation, participatory crop improvement and climate change adaptation por Vernooy, Ronnie, Netnou-Nkoana, Noluthando Caroline, Mokoena, M., Sema, R., Tjikana, Thabo T., Kasasa, P., Mbozi, H., Mushonga, J., Mushita, A.

“…This brief presents the findings and lessons learned of a study tour by a team from the Department of Agriculture, Forestry and Fisheries of South Africa to neighbouring Zimbabwe, to learn about the roles of Farmer Field Schools, functions and operations of community seedbanks and various forms of participatory crop improvement, promoted by the Community Technology Development Organisation of Zimbabwe.…”
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Knowledge management, monitoring and evaluation and embedding learning in your work: CTA Introduction to KM4ARD course - Unit 4 por Lamoureux, Lucie

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Fostering cross-program learning and experience sharing: Key take-aways from a recent Africa RISING Program exchange por Mekonnen, Kindu, Odhong, Jonathan, Ofori-Duah, Wilhelmina

“…Themed exchange visits to strategically selected project sites have been used over the years within Africa RISING program as a method for promoting cross-learning and experience sharing among partners that are implementing activities through the program in different countries. …”
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Good practices for diversity, livelihoods and ecosystem services: what can we learn from tropical fruit farming communities in Asia? por Sthapit, B., Lamers, H., Ramanatha Rao, V.

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Combining experiential and social learning approaches for crop disease management in a smallholder context: a complex socio-ecological problem por Tafesse, S., Mierlo, B. van, Leeuwis, Cees, Lie, R., Lemaga, B., Struik, P.C.

“…Moreover, farmers recognized their interdependency, role, and responsibility to cooperate to reduce the disease pressure in their community. We conclude that learning interventions aiming to improve smallholder farmers’ knowledge, perceptions, and practices to deal with complex crop diseases need to combine experiential and social learning approaches and consider farmers’ local knowledge.…”
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Gender and youth responsiveness considerations for targeting, testing and scaling suitable CSA practices and technologies: Learnings from the Climate-Smart Villages por Beal, Catherine, Castellanos, Andrea Estefania, Martínez, Jesús David, Ouedraogo, Mathieu, Recha, John W.M., Radeny, Maren A.O., Läderach, Peter R.D., Bonilla-Findji, Osana

“…The diverse settings of CSVs (across East and West Africa, South and Southeast Asia and Latin America) and long program timeline, present a unique opportunity to gather learnings for the broader agriculture research for development community and practitioners. …”
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Innovative practices and tools to reduce land use conflicts between farmers and livestock keepers: Experiences and learning from Kenya and Tanzania por International Land Coalition

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How agricultural research for development achieves developmental outcomes: learning lessons to inform One CGIAR science and technology policy research por Douthwaite, Boru, Child, K.

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Reference soil groups map of Ethiopia based on legacy data and machine learning technique: EthioSoilGrids 1.0 por Ali, Ashenafi, Erkossa, Teklu, Gudeta, Kiflu, Abera, Wuletawu, Mesfin, Ephrem, Mekete, Terefe, Haile, Mitiku, Haile, Wondwosen, Abegaz, Assefa, Tafesse, Demeke, Belay, Gebeyhu, Getahun, Mekonen, Beyene, Sheleme, Assen, Mohamed, Regassa, Alemayehu, Selassie, Yihenew G., Tadesse, Solomon, Abebe, Dawit, Walde, Yitbarek, Hussien, Nesru, Yirdaw, Abebe, Mera, Addisu, Admas, Tesema, Wakoya, Feyera, Legesse, Awgachew, Tessema, Nigat, Abebe, Ayele, Gebremariam, Simret, Aregaw, Yismaw, Abebaw, Bizuayehu, Bekele, Damtew, Zewdie, Eylachew, Schulz, Steffen, Tamene, Lulseged D., Elias, Eyasu

Materias: “…machine learning…”
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Livestock research for development: lessons learned from the priority country program of the CGIAR Research Program on Livestock agri-food systems por CGIAR Research Program on Livestock

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Lessons learned from the Second International Agrobiodiversity Congress: Adopting agricultural biodiversity as a catalyst for transformative global food systems por Zaccari, Claudia, Vivo, Romano de, Pawera, Lukas, Termote, Céline, Hunter, Danny, Borelli, Teresa, Kettle, Christopher J., Maas, Bea, Novotny, Ivan, Cherico Wanger, Thomas, Dulloo, Mohammad Ehsan, Fadda, Carlo, Gee, Eliot

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Through the lens of inequality: What can we learn from CGIAR as a case study of research on the climate security nexus? por DuttaGupta, Tanaya, Carneiro, Bia, Schapendonk, Frans, Pacillo, Grazia, Suza, Ma, Läderach, Peter R.D.

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Smart-Valleys toolkit: An e-learning tool for the sustainable use of inland valleys for agricultural development and biodiversity and ecosystem services preservation por Dossou-Yovo, Elliott Ronald, Futakuchi, Kiochi

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Through the lens of inequality: what can we learn from CGIAR as a case study of research on the climate–security nexus? por DuttaGupta, Tanaya, Silveiracarneiro, Bia, Schapendonk, Frans, Pacillo, Grazia, Ma, Suza, Läderach, Peter R.D.

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Clarity in rangelands: Distinguishing invasive species from palatable forage, using satellite monitoring, environmental drivers, and machine learning classifiers por Paliwal, Ambica, Mhelezi, M., Galgallo, Diba, Banerjee, Rupsha R., Whitbread, Anthony

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Operationalizing the RE-AIM framework to evaluate complex interventions: Lessons learned from the Integrated Research on Acute Malnutrition (IRAM) study por Huybregts, Lieven, Diatta, Ampa Dogui, Diop, Loty, Touré, Mariama, Fall, Talla, Becquey, Elodie

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Reference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0 por Ali, Ashenafi, Tadesse, Solomon, Wolde, Yitbarek, Gudeta, Kiflu, Abera, Wuletawu, Mesfin, Ephrem, Mekete, Terefe, Haile, Mitiku, Haile, Wondwosen, Abegaz, Assefa, Tafesse, Demeke, Belay, Gebeyhu, Getahun, Mekonen, Beyene, Sheleme, Assen, Mohamed, Regassa, Alemayehu, Selassie, Yihenew G., Abebe, Dawit, Schulz, Steffen, Erkossa, Teklu, Hussien, Nesru, Yirdaw, Abebe, Mera, Addisu, Admas, Tesema, Wakoya, Feyera, Legesse, Awgachew, Tessema, Nigat, Abebe, Ayele, Gebremariam, Simret, Aregaw, Yismaw, Abebaw, Bizuayehu, Bekele, Damtew, Zewdie, Eylachew, Tamene, Lulseged D., Elias, Eyasu

“…Yet, a large legacy soil profile dataset accumulated over time and the emerging machine-learning modeling approaches can help in generating a high-quality quantitative digital soil map that can provide better soil information. …”
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Promoting rapid and sustained adoption of biofortified crops: What we learned from iron-biofortified bean delivery approaches in Rwanda por Vaiknoras, Kate, LaRochelle, Catherine, Birol, Ekin, Asare-Marfo, Dorene, Herrington, Caitlin

“…Delivery of biofortified planting material in Rwanda began in 2012, and it is important to learn from the efforts undertaken to date to inform the design of higher impact – lower cost delivery strategies for scaling up these crops. …”
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An innovation systems approach to capacity development: Insights from learning exercises with the Feed the Future Innovation Lab for Livestock Systems in Ethiopia por Ye, Jia Yi, De Roo, Nina, Spielman, David J.

“…The engagement—framed here as a case study in systems-oriented capacity development—was conducted in 2019, and included a series of multistakeholder learning events held in Addis Ababa, Ethiopia in late August 2019.…”
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