Resultados de búsqueda - "learning"

Using the learning alliance approach to develop national and sub national policies e.g climate change guidelines for the Ministry of Agriculture, Animal Industry and Fisheries por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…learning…”
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Evaluation of a water management training program in Tajikistan leads to redesign to target women farmers and informs Feed the Future Learning Agenda(WLE-IWMI) por CGIAR Research Program on Water, Land and Ecosystems

Materias: “…learning…”
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farmer adoption dynamics learning: African smallholder farmers who have expressed interest in Conservation Agriculture (CA) have generally not progressed to implementation on their farms por CGIAR Research Program on Maize

Materias: “…learning…”
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Conservation agriculture-based wheat production system to minimize losses due to climate risks: adoption dynamics learning and benefits evidence, including climate change.) por CGIAR Research Program on Wheat

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Impact of- and lessons learned from WFP's nutrition-sensitive, shock-responsive food assistance for assets program in Sri Lanka on men's and women's dietary intake por Silva, Renuka, Olney, Deanna K., Sitisekara, Hasara, Peiris, Kalana, Caswell, Bess

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Linking women-led community kitchens to school food programmes: Lessons learned from the Healthy Kitchens, Healthy Children intervention in Palestinian refugees in Lebanon por Ghattas, Hala, Choufani, Jowel, Jamaluddine, Zeina, Masterson, Amelia Reese, Sahyoun, Nadine R.

“…The main challenges to sustainability related to the need for subsidization of the meals and the lack of school policies around the regulation of sales of school food, which together led to fluctuations in programme participation.The study provides lessons learned on the potential of this model to improve the human capital of two generations of protracted refugees. …”
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From pixels to plant health: Accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning por Mora, Juan Jose, Selvaraj, Michael Gomez, Alvarez, Cesar Ivan, Safari, Nancy, Blomme, Guy

“…RGB (Red, Green, Blue) and multispectral (MS) images from unmanned aerial vehicles UAVs were utilized using pansharpening algorithms for improved data fusion. Using transfer learning, two deep-learning model architectures were used and compared in our study to determine which offers better detection capabilities. …”
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Monitoring biofortification program performance and potential for impact: Indicators, methods, and learnings from the commercialization of biofortified crops program in six countries across Africa and Asia por Friesen, Valerie M., Mudyahoto, Bho, Nyangaresi, Annette M., Gorla, Ishank, Mbuya, Mduduzi NN

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A robust model based on root morphological and anatomical features to distinguish high and low methane emission rice varieties through machine learning approaches por Roy, Ripon Kumar, Hosseiniyan Khatibi, Seyed Mahdi, Kim, Sung-Ryul, Trijatmiko, Kurniawan Rudi, Diaz, Maria Genaleen Q., Ocampo, Eureka Teresa M., Hernandez, Jose E., Pirmoradi, Saeed, Henry, Amelia, Kohli, Ajay

Materias: “…machine learning…”
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Establishment and implementation of integrated agricultural research for development in Eastern and Central Africa: some operations and lessons learnt from the Lake Kivu pilot learning site por Buruchara, Robin Arani, Tenywa, M.M., Mugabo, Josephat R., Chiuri, Wanjiku L., Fatunbi, A.O., Adewale, A.A., Nyamwaro, Sospeter S., Majaliwa, M

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Gender responsive value chain development and the conservation of native fruit trees through an inclusive learning process: a case study in Western Ghats, India por Lamers, H., Hegde, N., Hermanowicz, E., Elias, Marlène

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Can mobile phone-based animated videos induce learning and technology adoption among low-literate farmers? A field experiment in Burkina Faso por Maredia, Mywish K., Reyes, Byron A., Ba, Malick N., Dabiré, Clementine L., Pittendrigh, Barry Robert, Bello-Bravo, Julia

“…Results suggest that video-based training was as effective as the traditional method in inducing learning and understanding. For technologies that farmers were already aware of animated video shown on the mobile phone was also as effective as live demonstration in inducing adoption. …”
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Accelerating Learning and Tackling Bottlenecks through a Conceptual Framework for Roots, Tubers and Bananas Seed Systems (9-11 October 2013, Wageningen, Netherlands). por CGIAR Research Program on Roots, Tubers and Bananas

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Baseline report of the Sudan Savanna zone of the Kano, Katsiina, Maradi (KKM) Project Learning Site (PLS) of the subSaharan AfricaChallenge Program (SSACP) por Ayanwale, A., Abdoulaye, Tahirou, Sanni, A., Maiyaki, D., Kamara, A.Y., Adekunle, A., Fatunbi, O., Ayedun, B., Akinola, Adebayo A.

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Lessons learned from the content development stream of the mNutrition initiative: End-user feedback and its role in producing high-quality localized content por CAB International

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Editorial for the Thematic Series in Agriculture & Food Security: Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences por Bayala, Jules, Zougmoré, Robert B., Dayamba, Sidzabda Djibril, Olivier, Alain

“…Tis Tematic Series on “Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences” contains seven papers presented by researchers from four West African countries based on participatory action research conducted since 2012 in the region. …”
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Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems por Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Naiken, V., Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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Inspire Challenge Award: Seeing is believing – Using smartphone camera data por CGIAR Platform for Big Data in Agriculture

Materias: “…learning…”
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Manual of Operations for the Schools-on-the-Air on Smart Rice Agriculture in the Philippines por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…learning…”
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Project-level Women's Empowerment in Agriculture Index (pro-WEAI) Foundations Module, a distance learning course developed by A4NH gender researchers por CGIAR Research Program on Agriculture for Nutrition and Health

Materias: “…learning…”
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