Resultados de búsqueda - "learning"

Los cultivos de cobertura en la horticultura familiar urbana: una oportunidad para mejorar la formación del estudiante de agronomía por Milo Vaccaro, Marcelo, Muñoz, G., Torres, C., Couretot, J.

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Community Supported Agriculture (CSA) - en väg mot ökad uthållighet? por Andersson, Karin

“…The main focus is on the contact between the farmers and the CSA members, and the learning and changes in purchase habits that is a possible result of the CSA membership. …”
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Curso de contabilidad para contadores de Cooperativas Vinculadas al sector silvoagropecuario y/o cadena agroalimentaria asociada

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Human and technical dimensions of potato integrated pest management using farmer field schools: International Potato Center and partners’ experience with potato late blight managem... por Ortíz, O., Nelson, R., Olanya, M., Thiele, Graham, Orrego, R., Pradel, W., Kakuhenzire, R., Woldegiorgis, G., Gabriel, J., Vallejo J., Xie, K.

“…Results indicated that farmers using this approach learned new knowledge, assessed new potato clones, and changed crop management practices. …”
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Conservation and Use of the North American Plant Cornucopia: The Way Forward por Khoury, Colin K., Greene, Stephanie L., Williams, Karen A., Kantar, Michael B., Marek, Laura F.

“…Marketing of new crops can take advantage of the increasing public interest in diverse and nutritious foods, learning from successful collaborations between producers, researchers, and consumers. …”
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Understanding gender roles and practices in the household and on the farm: Implications for banana disease management innovation processes in Burundi por Iradukunda, F., Bullock, Renee, Rietveld, Anne M., Schagen, Boudy van

“…We use qualitative data that include focus group discussions, interviews and transcripts from farmer learning group (FLG) discussions to describe gender norms, roles and practices and implications for awareness and uptake of SDSR in households. …”
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New pathways for governing food system transformations: a pluralistic practice-based futures approach using visioning, back-casting, and serious gaming por Mangnus, Astrid C, Vervoort, Joost M., McGreevy, Steven R, Ota, Kazuhiko, Rupprecht, Christoph DD, Oga, Momoe, Kobayashi, Mai

“…The combination of Kyoto-based “seeds” with initiatives from elsewhere and with a new food system governance model (a food policy council) resulted in participants learning about new food system practices, extending their networks, and support for actualizing a food policy council. …”
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Factors influencing marketable supply of avocado fruit: The case of Lemo Woreda in Hadiya Zone of SNNPR, Ethiopia por Tesfaye, E.

“…The study recommends the need for develop market cooperation at the ground level to improve market channel, designing motivation of young farmers’ involvement improve adult learning, improve all factors of marketable supply; thus, to improve market supply performance in the local and distance market uplift the income of the producers and or suppliers.…”
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CTA Project Completion Report: Capitalizing on experiences for greater impact in rural development por Chavez-Tafur, Jorge

“…Following the structure and the list of activities outlined in the project proposal, during these 3 years the project • helped complete the FAO/IMARK learning module on experience capitalisation and supported the production of the Spanish and French versions; • built and maintained a thematic website, and completed it with an online repository with guidebooks and manuals as well as with the results of different capitalisation processes; • prepared, used and shared a series of training materials, together with a facilitators’ guidebook – building on the resources already available, but more specifically on the experience accumulated by the project; • ran a series of training workshops and supported the completion of experience-capitalisation processes in East Africa, Mozambique, India, West Africa (in French and in English), South East Asia, the Pacific region and Latin America; • completed the editing, layout and publication of 10 booklets with the results of the capitalisation processes started in different parts of the world (with more than 120 cases in total), together with two additional booklets focusing on the capitalisation process itself and on its institutionalization; • worked together with other organisations, such Farm Radio International and the International Land Coalition, in the analysis and documentation of their projects’ activities; • ran a series of webinars for online facilitators, focusing on the organisation and facilitation of a community of practice, and invited different participants to guide and facilitate the regional communities - in English (East and West Africa and in the Pacific region), French (West Africa), Portuguese (Brazil and Mozambique) and Spanish (Latin America); • presented the results achieved in international conferences and seminars (in Benin, Mauritania and the Netherlands); and • helped prepare a series of capitalisation processes within CTA, as part of a thorough analysis of its different intervention areas.…”
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Shifting gender relations in agriculture and irrigation in the Nepal Tarai-Madhesh por Karn, Sujeet, Sugden, Fraser, Sah, K.K., Maharjan, J., Shah, T.N., Clement, Floriane

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End-line study - Capacitating Stakeholders in Using Climate Information for Enhanced Resilience in the Agricultural Sector in West Africa (CaSCIERA-TA) por Diakité, Adama, Bayala, Jules, Dembélé, Catherine

“…The monitoring, evaluation and learning component aimed at assessing the progress made by the various components of the project by comparing their final achievements measured by a set of indicators with a baseline situation of the same indicators to reveal the extent to which the project objectives have been reached. …”
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Digital solutions to transform agriculture: lessons and experiences in Ethiopia por Tamene, Lulseged D., Abera, Wuletawu, Erkossa, Teklu

“…Through organizing a coalition of experts (soil scientists, agronomists, geospatial analysis experts and data scientists), it was possible to materialize collation/collection of tenths of thousands of soil/agronomy datasets, developing standard data management portal, developing standard data collection guidelines and exploring various machine learning techniques to analyze dataset. With the above accomplishments, the coalition has now moved to the next challenge: mine data, understand patterns and develop solutions that can enable transforming the agricultural system. …”
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Hunting in Times of Change: Uncovering Indigenous Strategies in the Colombian Amazon Using a Role-Playing Game por Ponta, N., Cornioley, T., Dray, A., Vliet, N. van, Waeber, Patrick O., Garcia, C.A.

“…When it comes to coupled human-nature systems, the best way forward to produce socially just and resilient conservation strategies might be to trigger an adaptive process of experiential learning and scenario exploration. The use of games as "boundary objects" can guide stakeholders through the process, eliciting the plurality of their strategies, their drivers and how outside change affect them.…”
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Overcoming constraints of scaling: Critical and empirical perspectives on agricultural innovation scaling por Gebreyes, Million, Mekonnen, Kindu, Thorne, Peter J., Bezabih, Melkamu, Adie, Aberra, Mulema, Annet A., Ahmed, Seid, Tamene, Lulseged D., Amede, Tilahun, Haileslassie, Amare, Gebrekirstos, Aster, Mupangwa, W.T., Ebrahim, Mohammed, Alene, Temesgen, Asfaw, Addisu, Dubale, Workneh, Yasabu, Simret

“…Third, scaling may not be strictly planned; instead, it might be an extension of the innovation generation process that relies heavily on both new and long-term relationships with key partners, trust, and continuous reflection and learning. Fourth, the overall implication of the above three conclusions is that scaling strategies need to be flexible, stepwise, and reflective. …”
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Seeding resilient restoration: An indicator system for the analysis of tree seed systems por Atkinson, Rachel J., Thomas, Evert, Roscioli, Federico, Cornelius, Jonathan P., Zamora-Cristales, Rene, Franco Chuaire, Maria, Alcázar Caicedo, Carolina, Mesén, Francisco, López, Hariet, Ipinza, Roberto, Donoso, Pablo J., Gallo, Leonardo, Nieto, Victor, Ugarte, Julio, Sáenz Romero, Cuauhtémoc, Fremout, Tobias, Jalonen, Riina, Gaisberger, Hannes, Vinceti, Barbara, Valette, Michel, Bosshard, Ennia, Ekué, Marius, Wiederkehr Guerra, Gabriela Patricia, Kettle, Christopher J.

“…We conclude that the indicators enable a straightforward assessment of the strengths and weaknesses of national seed systems, thus assisting governments to identify key areas for improvement and opportunities for horizontal learning.…”
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How useful are perception- and experienced-based measures in predicting actual food choice? Evidence from an in-store field experiment using a multi-response approach por Lagerkvist, Carl Johan, Mwende, J., Muoki, Penina Ngusye, Okello, J.J.

“…Non-parametric machine learning methods were used for partitioning and predictive purposes. …”
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Factors affecting variation in farm yields of irrigated lowland rice in southern-central Benin por Tanaka, A., Saito, Kazuki, Azoma, K., Kobayashi, K.

“…The low yields in new irrigation schemes caused by sub-optimal crop management practices suggest that farmer-to-farmer learning and extension of good agricultural principles and practices can increase yields. …”
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Feed and forage development in mixed crop–livestock systems of the Ethiopian highlands: Africa RISING project research experience por Mekonnen, Kindu, Bezabih, Melkamu, Thorne, Peter J., Gebreyes, Million, Hammond, James, Adie, Aberra

“…Training activities and multistakeholder platforms were used to enhance cross learning of project partners. The cultivated forages grown under farmers’ fields and management conditions provided high biomass yield of good nutritional quality. …”
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Predicting landscape-scale biodiversity recovery by natural tropical forest regrowth por Prieto, P.V., Bukoski, J.J., Barros, F.S.M., Beyer, H.L., Iribarrem, A., Brancalion, P.H.S., Chazdon, R.L., Lindenmayer, D.B., Strassburg, B.B.N., Guariguata, Manuel R., Crouzeilles, R.

“…We then employed a machine learning algorithm and a comprehensive set of socio-environmental factors to spatially predict and map this landscape-scale deviation. …”
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Informing equitable water and food policies through accurate spatial information on irrigated areas in smallholder farming systems por Magidi, J., van Koppen, Barbara, Nhamo, L., Mpandeli, S., Slotow, R., Mabhaudhi, Tafadzwanashe

“…This study addressed this gap by delineating disaggregated smallholder and commercial irrigated areas through the random forest algorithm, a non-parametric machine learning classifier. Location within or outside former apartheid “homelands” was taken as a proxy for smallholder, and commercial irrigation. …”
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