Resultados de búsqueda - "learning"
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Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
Publicado 2022“…This cross-cutting brief analyzes learning and recommendations by five themes (governance, gender, partnerships, people, and capacities, and monitoring, evaluation, and learning) across the CGIAR Excellence in Breeding (EiB) Platform and Platform for Big Data in Agriculture evaluations. …”
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Brief -
L5: Learning for innovation and adaptive management: Coordination Project Project Lead Organization: FANRPAN
Publicado 2010Enlace del recurso
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Categorizing the songbird market through big data and machine learning in the context of Indonesia’s online market
Publicado 2022“…The authors found that the machine learning models produced a high level of accuracy in distinguishing relevant ads and identified the songbirds’ taxa. …”
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Policy Workshop on Co-learning Opportunity for the Water, Energy, Food and Ecosystems (WEFE) Nexus in Nepal
Publicado 2022“…On June 19 and 20, 2022, the International Water Management Institute (IWMI) and the Department of Water Resources and Irrigation (DWRI) co-organized a co-learning workshop to discuss the challenges and opportunities of integrated management of WEFE resources using the nexus thinking approach in Nepal.…”
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Building the adaptive capacity of institutions towards managing climate security: a social learning approach
Publicado 2022“…Social learning is proposed as a governance mechanism to develop multi-stakeholder communities of practice that facilitate climate security-sensitive policies, strategies, and programmes. …”
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Lessons Learned from the Livestock Master Plan and Future Investment Priorities for Animal Resources Development
Publicado 2023“…This presentation slide is a collection of slides used by speakers on Mar. 9, 2023, during the Lessons Learned from the Livestock Master Plan and Future Investment Priorities for Animal Resources Development workshop/seminar. …”
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Ponencia -
An Evolving Paradigm of Agricultural Mechanization Development. How Much Can Africa Learn from Asia?
Publicado 2021“…BOOK LAUNCH An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? FEB 9, 2021 - 09:30 AM TO 10:30 AM EST…”
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Community voices on climate, peace and security: A social learning approach to programming environmental peacebuilding
Publicado 2024Materias: “…social learning…”
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Using explainable machine learning techniques to unpack farm-level management x climate interactions
Publicado 2023Materias: “…machine learning…”
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Ponencia -
Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model
Publicado 2024Materias: “…machine learning…”
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Accelerating and scaling up Africa’s climate change adaptation and mitigation actions: Experiences and lessons learned
Publicado 2023“…Specifically, the side event aims to share lessons learned from climate change mitigation research on the continent; increase awareness of CSA/CIS technologies, practices, and innovations developed by the AICCRA Project among university stakeholders, and disseminate completed training modules developed by RUFORUM and WASCAL for integration into university curricula. …”
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An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia?
Publicado 2020“…An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? Synopsis. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/9780896293823…”
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Libro -
Scaling up experiential learning tools for sustainable water governance in India: Outreach event report
Publicado 2023“…This report provides an overview of discussions that transpired during the outreach event titled "Scaling up Experiential Learning Tools for Sustainable Water Governance in India." …”
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Informe técnico -
Sustaining natural resources in African agriculture: What have we learned in the past two decades?
Publicado 2022Enlace del recurso
Capítulo de libro -
Remote sensing and machine learning for food crop production data in Africa post-COVID-19
Publicado 2021Materias: “…machine learning…”
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Capítulo de libro