This report explores the role of rural networks in enhancing innovation processes, questioning the features of the agricultural/rural networks could enhance farmers’ ability to co-innovate in cooperation with other actors. The prospect of this investigation is also to provide interesting and significant experiences that constitute examples for the ‘European Innovation Partnership’ by increasing farmers’ capacities to create, test, implement and evaluate innovations in cooperation with other rural actors.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
The present case study investigated a policy-induced agricultural innovation network in Brandenburg.
The aim of this document is to produce a state-of-the-art of the academic literature in order to identify theories and concepts available for: a) describing the structure, the dynamics and the functioning of agricultural advisory services; b) understanding how these services are embedded into national Agricultural Knowledge and Innovation Systems (AKIS), and into various agricultural and rural policies across the European Union (EU) countries; c) providing some conceptual elements to support the methodology for an inventory of agricultural advisory services in EU 27 countries (WP3 of the PR
This report has the aim of contributing to the PRO AKIS overall goal of exploring and identifying the possibilities, conditions and requirements of rural networks to enhance the farmers’ ability to create, test, implement and evaluate innovation in cooperation with other actors.In particular, the report presents two cases: the Small Fruit Cluster (SFC) and the Drosophila Suzukii Monitoring (DSM) network. The SFC is a nationwide, multi-actor network composed of several actors, interacting in the small fruit sector in Portugal.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
The impressive performance of improved varieties of high-yielding, heat-tolerant wheat developed in Sudan has convinced Nigerian decision makers that a viable solution to their country’s growing dependence on wheat imports is domestic production – a policy shift that will protect Nigerians from the vagaries of global commodity markets and strengthen national food security. The brief describes this solution.
Livelihoods, food security, and development processes in Sub-Saharan Africa are highly dependent on land management practices to generate natural ecosystem goods and services. Out of a total population of about 717 million people, almost 60 percent depend for their livelihood on agriculture, hunting, fishing, or forestry. However, unsustainable land management already is leading to large-scale land degradation trends, which pose a threat to food security and poverty alleviation in Sub-Saharan Africa. Climate change threatens to exacerbate and add to the existing vulnerabilities.
This report summarizes the findings of the study on Competitive Commercial Agriculture for Africa (CCAA). The objective of the CCAA study was to explore the feasibility of restoring international competitiveness and growth in African agriculture through the identification of products and production systems that can underpin rapid development of a competitive commercial agriculture.
Many indigenous vegetables are generally underutilized across different cultures, but they remain alternatives to exotic vegetables that often are expensive. This study investigated effects of participation in indigenous vegetable production on livelihood of farmers. Multistaged sampling was used to collect data from 222 vegetable farmers sampled from using a semi-structured questionnaire. Principal component analysis and endogenous switching regression (ESR) were employed for analysis