El presente artículo presenta el estudio de caso desarrollado con la Asociación Agropecuaria de Mujeres Emprendedoras del Municipio de Sotaquirá (ASOAMMES), en el que se propuso y se desarrolló una estrategia de diseño participativo, con el objetivo de generar valor agregado y ventajas competitivas en las actividades productivas que desempeñan las 40 mujeres que conforman dicha asociación.
Este trabajo buscó analizar la apropiación y aplicación de conocimientos y habilidades de familias cacaoteras que participaron en escuelas de campo en Bocas del Toro, Panamá.
This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
Agricultural development interventions tend to favour men. Women do most of the work and receive fewer benefits. A starting point is to assess gender capacities to give momentum to the implementation of strategic interventions responding to the needs of both men and women. The gender capacity assessment tool is participatory; the process can be seen as a gender sensitization activity for partners; it helps to generate useful data for M&E of gender capacity development interventions; It provides the opportunity to design a strategic gender capacity development intervention.
To enhance integrated rainwater management in crop-livestock systems in the Volta basin of Burkina Faso, innovation platforms (IP) comprising of multiple stakeholders were established in the districts of Koubri and Ouahigouya. Quarterly IP meetings were organized to collectively identify and prioritize constraints and opportunities, and to design and implement strategies to address them. IP represents an example of putting the agricultural innovations systems’ perspective into practice.
This white paper is intended to summarize the key insights gleaned from prior work applying information and communication technologies (ICTs) in support of agriculture and food systems, identifying approaches and opportunities that hold promise for enhancing global food security, and to identify important knowledge gaps that remain, offering guidance for new work that investigates how to apply information and communication technologies in agriculture.
This chapter examines processes to inform decision making and manage innovation at four generally defined levels of the innovation system for agriculture; policy, investment, organization, and intervention and also identifies methods relevant at each level for assessing, prioritizing, monitoring, and evaluating innovation processes so that practitioners have the information needed for decision making and for managing limited resources effectively.
Zimbabwe has a pluralistic agricultural extension system. In addition to the public extension service, donors contract private service providers to deliver extension services in specific project areas. This study assesses the impact of an outsourced extension service on rural households in the Mutasa district of Zimbabwe’s Manicaland Province, and examines the financial cost and benefit of this service. The extension service was delivered by a local agribusiness firm and funded by USAID. The study analyses survey data gathered from 94 client and 90 non-client rural households.
TAP and its partners carried out regional surveys in Asia, Africa and Central America to assess priorities, capacities and needs in national agricultural innovation systems. This document provides a Regional synthesis report on capacity needs assessment for agricultural innovation in Africa. FARA was selected as Recipient Organization by FAO to facilitate TAP implementation in Africa. This is mainly due to its position as the umbrella organization bringing together and forming coalitions of major regional stakeholders in agricultural research and development.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.