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Displaying 1 - 3 of 3 results.

Learning journey on biodiversity management and sustainable farming

This comprehensive guide accompanies the Learning Journey in Rwanda, known as the 'Land of a Thousand Hills' where the economy heavily relies on agriculture. This document presents a detailed look into Farmer Field Schools (FFS) established through the ACP MEAs 3 programme, highlighting innovative farmer initiatives and success stories. Within these pages, you will discover the outcomes of FFS trials with ecosystem-based practices, such as integrated pest management, biofertilizer and biopesticide application, mulching, and the restoration of local seed varieties.

Tema(s): 
Escuelas de campo para agricultores (ECAs)aprendizaje
Año de publicación: 
2025
Autor (es): 
Food and Agriculture Organization of the United Nations
Dónde se encuentra el recurso?: 
  • Link to web resource
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GenderUp: Scaling Agricultural Innovations Responsibly to Achieve Sustainable Development Goals

Existing scaling support methodologies often fail to consider the socially differentiated impacts, including gender effects, of innovation uptake. To address this gap, GenderUp was developed as a conversational tool to enhance the inclusivity, reflexivity, and responsiveness of scaling initiatives. GenderUp employs a five-stage process facilitated by trained facilitators, guiding teams through discussions, learning activities, and practical integration to create socially responsible scaling strategies.

Tema(s): 
innovación
Año de publicación: 
2025
Autor (es): 
Wageningen University and ResearchAlliance of Bioversity and CIATThe Feed the Future Innovation Lab for Horticulture at the University of California, Davis (UC Davis)
Dónde se encuentra el recurso?: 
  • Upload file
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A climate and pest smart advisory system for Africa

Agricultural performance in Africa is hindered by factors like inaccessible inputs, limited credit, unfavorable weather, pests, diseases, and poor management. The International Centre of Insect Physiology and Ecology (icipe) implemented a project funded by CGIAR to develop digital advisories for Rwanda and Ghana. They created models to forecast fall armyworm invasions and Striga weed risk, which cause significant crop losses. These models, integrated with climate forecasts, run on a Python back-end and are accessible online.

Tema(s): 
innovación
Año de publicación: 
2025
Autor (es): 
International Centre of Insect Physiology and Ecology (ICIPE)
Dónde se encuentra el recurso?: 
  • Upload file
View Resource More Info

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