Increasing trends of climatic risk pose challenges to the food security and livelihoods of smallholders in vulnerable regions, where farmers often face loss of the entire crop, pushing farmers (mostly men) out of agriculture in destitution, creating a situation of agricultural making agriculture highly feminization and compelling male farmers to out-migrate. Climate-smart agricultural practices (CSAPs) are promoted to cope with climatic risks.
Este manual para instructores sobre evaluación de necesidades de capacidad fue producido como parte del proyecto de Desarrollo de Capacidades para Sistemas de Innovación Agrícola (CDAIS). Esto implica una asociación global (Agrinatura, la Organización de las Naciones Unidas para la Agricultura y la Alimentación - FAO y socios nacionales de ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes involucradas para innovar en sistemas agrícolas complejos, logrando así una mejora de los medios de vida en la zona rural.
Ce manuel du formateur sur l’évaluation des besoins en capacités a été produit dans le cadre du projet de développement des capacités pour les systèmes d’innovation agricole (CDAIS). Cela implique un partenariat mondial (Agrinatura, l'Organisation des Nations Unies pour l'alimentation et l'agriculture [FAO] et des partenaires nationaux de huit pays pilotes) qui vise à renforcer la capacité des pays et des principales parties prenantes à innover dans des systèmes agricoles complexes, permettant ainsi d'améliorer les zones rurales. moyens de subsistance.
Ce guide sur le suivi, l'évaluation et l'apprentissage a été préparé dans le cadre du projet Développement des capacités pour les systèmes d'innovation agricole (CDAIS), un partenariat mondial (Agrinatura, FAO et huit pays pilotes) qui vise à renforcer la capacité des pays et des principaux acteurs à innover dans des domaines complexes systèmes agricoles, améliorant ainsi les conditions de vie en milieu rural. Le CDAIS utilise une approche de cycle d'apprentissage continu pour soutenir les systèmes nationaux d'innovation agricole dans huit pays d'Afrique, d'Asie et d'Amérique centrale.
Within agricultural innovation systems (AIS), various stakeholder groups inevitably interpret ‘innovation’ from their own vantage point of privilege and power. In rural developing areas where small-scale and subsistence farming systems support livelihoods, dominant policy actors often focus heavily on participatory modernization and commercialization initiatives to enhance productivity, access, and quality. However, existing social hierarchies may undermine the potential of such initiatives to promote inclusive and sustainable farmer-driven innovation.
The quest for innovation lies at the heart of European rural development policy and is integral to the Europe 2020 strategy. While social innovation has become a cornerstone of increased competitiveness and the rural situation legitimizes public intervention to encourage innovation, the challenges of its effective evaluation are compounded by the higher ‘failure’ rate implied by many traditional performance measures.
The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.
Small millets, a group of highly nutritious food, have taken a back seat in the Indian agriculture landscape in recent years, due to government policies and failings in the value chain. In this commentary, the unusual decline of small millets in comparison to its substitutes, and the repercussions thereof, were first presented as context. Thereafter, based on analysis of data from literature, survey, and stakeholder contributions, a cluster map for the Indian small millets value chain was designed, and its competitive state presented.
Conflicts of interests have been hypothesized when agricultural advisory services are connected to agri-input businesses. However, these have not been examined using large sets of advisory service and grower data. We provide quantitative insights into dependencies between service, crop production, sustainability and the level of agri-input business-linkage of extension workers. This study analyzed 34,000+ prescription forms (recommendations) issued to growers in China, as well as grower interview data.
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.