Resultados de búsqueda - Transformative learning.

Digital agroclimatic plot in Guatemala's dry corridor: Progress, learning, and innovation for agricultural decision-making por Ramos, Gresia, Lizarazo, Miguel, Jimenez, Daniel, Estrada, Oscar

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Event rewind: Learning support for a multi-country climate resilience programme for food security por Hassain, Arif, van Gilst, Daniel, Leight, Jessica, de Brauw, Alan, Laderach, Peter, Mekuria, Wolde, Kamau, David, Grassini, Christian, Philip, Serene, Timothy, Adeyinka Jacob, Ochuma, Lynett, Kosec, Katrina, Gilligan, Daniel O., Ruckstuhl, Sandra

“…Organized by CGIAR with support from World Food Programme (WFP) and The Norwegian Agency for Development Cooperation (Norad) The Learning Support for a Sub-Saharan Africa Multi-Country Climate Resilience Program for Food Security, launched in 2023, aims to enhance food security and climate resilience across 14 African countries. …”
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An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? por Diao, Xinshen, Takeshima, Hiroyuki, Zhang, Xiaobo

“…The role of agricultural mechanization within overall agricultural and rural transformation strategies in Africa is also discussed. …”
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Value chain transformation: Taking stock of WorldFish research on value chains and markets por Kruijssen, Froukje, Audet-Belanger, G., Choudhury, A., Crissman, C.C., Dalsgaard, Jens Peter T., Dawson, C., Dickson, M., Genschick, S., Islam, M.M., Kaminski, A., Keus, H.J., McDougall, Cynthia, Banda, L.E., Muyaule, C., Rajaratnam, S.

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Transforming food systems: Multi-stakeholder platforms driven by consumer concerns and public demands por Herens, Marion C., Pittore, Katherine H., Oosterveer, Peter

“…A diagnostic framework was used to identify MSP's capacities to address governance principles like system-based problem framing, boundary spanning, adaptability, inclusiveness, and transformative capacity. Existing MSPs can play a role in spanning boundaries, thereby increasing adaptability and learning, but seem less promising in shifting to systems-based narratives and thus may have limited capacity to truly transform food…”
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Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya por Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

“…Recent advancements in remote sensing and machine learning present a transformative alternative.The study employs Random Forest classification across multiple satellite datasets to assess sensor performance in detecting Prosopis juliflora along with community validation using PGIS. …”
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Transnational circuits of policy knowledge and discursive migration. The formation and transformation of planning policies in Argentina por Alves Rolo, Rodrigo Hernán, Duineveld, Martijn, Van Assche, Kristof

“…The migrating collaborative discourse (self) transformed in relation to the receiving governance environment, becoming an effective compliance-gaining technique, while national actors found ways to engage and discipline provinces they depended on more than before.…”
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Enhancing farmer learning and adoption of digital extension: A case study report of sorghum and millet farmers in western Kenya por Rickards, Chima Benita, Otieno, Wycliffe, Marenya, Paswel

“…Agricultural extension services remain critical for bridging the gap between agronomic research and on-farm adoption, yet systemic inefficiencies such as low farmer-to-agent ratios, fragmented knowledge dissemination, and limited accessibility of traditional methods of learning hinder progress. Digital tools offer transformative potential through scalability, real-time interaction, and tailored content delivery. …”
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Creating safe spaces for decision-making in conservation agriculture: using the Gender Action Learning System methodology por Enokenwa Baa, Ojongetakah, Chinyopiro, A., Nortje, Karen

“…Gender Action Learning System (GALS) is a powerful household Gender Transformative Approach (GTA) that guides people toward the desired development and growth within the household and communities. …”
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Capacity strengthening as a pathway to drive food systems transformation towards sustainable healthy diets: Reflections from the CGIAR Research Initiative on Sustainable Healthy Di... por Kruft, Krista, Herens, Marion, Namugumya, Brenda Shenute, De Groote, Bram

“…Following calls for transformation after the 2021 UN Food Systems Summit and subsequent international dialogues, there is growing recognition of the need for systemic approaches to accelerate food systems transformation (FST). …”
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Catalyzing Food Systems Transformation: Highlights from SHiFT Work Package 5. por CGIAR

“…Learn how the CGIAR Research Initiative on Sustainable Healthy Diets through Food Systems Transformation (SHiFT) is catalyzing food systems transformation in this video featuring Marion Herens, SHiFT’s Work Package 5 Lead. …”
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Africa Agriculture Transformation Scorecard: performance and lessons. Southern African Development Community (SADC) por Matchaya, Greenwell C., Nhlengethwa, Sibusiso, Panduleni, E., Greffiths, Ikhothatseng Jacob, Fakudze, Bhekiwe

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Achieving food and nutrition security under rapid transformation in China and India: A synthesis por Fan, Shenggen, Rue, Christopher

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Application of explainable AI techniques to site-specific and climate-smart management of maize systems in Colombia por Jaimes, Diana, Estrada, Oscar, Gonzalez, Arturo, Llanos Herrera, Lizeth, Ramirez Villegas, Julian

“…This study analyzes maize yield in response to agronomy and climate using machine learning algorithms. The approach employed addresses the explainability of machine learning algorithms, including data extraction, transformation, and loading (ETL), algorithm selection and tuning, and techniques to deepen interpretability. …”
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A literature review of citizen science for hydrological monitoring - with specific focus on lessons learned in developing countries por Kwakye, E., Barron, J., Adusei-Gyamfi, J., Atampugre, Gerald, Tilahun, Seifu A.

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Comprehensive nutrient analysis in agricultural organic amendments through non-destructive assays using machine learning por Towett, Erick K., Drake, L. B., Acquah, G. E., Haefele, S. M., McGrath, S. P., Shepherd, Keith D.

“…Portable X-ray fluorescence (pXRF) and Diffuse Reflectance Fourier Transformed Mid-Infrared (DRIFT-MIR) spectroscopy are rapid and cost-effective analytical tools for material characterization. …”
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Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit por Lorente, Delia, Escandell-Montero, P., Cubero, Sergio, Gómez-Sanchís, Juan, Blasco, José

“…Three different manifold learning methods (principal component analysis, factor analysis and Sammon mapping) were investigated to transform the high-dimensional spectral data into meaningful representations of reduced dimensionality containing the essential information. …”
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Ethiopian Agroclimate Advisory Platform (Edacap-V2): Forecast module co-learning with national partners por Ahmed, Jemal, Degefie, Tibebe, Desta, Lulseged, Teshome, Asaminew, Grossi, Amanda, Dessalegn, Olika, Ghosh, Aniruddha

“…EDACaP is a nationally owned, end-to-end digital system designed to transform complex weather and climate data into timely, localized, and actionable advisories for Ethiopian farmers and agricultural planners. …”
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Women-led agroforestry and clean cookstoves in Honduras: Field evaluation of farmer-led gender-transformative strategies for low emissions agriculture por Hottle, R.

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Achieving transformational change in land use and climate change: More inclusive and collaborative science is needed por Atmadja, S., Martius, C., Leonard, S., Sanz, M.J.

“…Definitions of transformational change in scientific and grey literature have the following in common: (i) movement away from the current status, opening new pathways; (ii) sustained change, through institutionalization or deep changes; (iii) focus on root causes; and (iv) harnessing knowledge and learning.…”
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