The Worldwide Extension Study provides empirical data on the human and financial resources of agricultural extension and advisory systems worldwide, as well as other important information on: the primary extension service providers in each country (e.g.: public, private and/or non-governmental); which types and groups of farmers are the primary target groups (e.g.: large, medium, and/or small-scale farmers, including rural women) for each extension organization; how each organization’s resources are allocated to key extension and advisory service functions; each organization’s information a

This publication represents a synthesis of assessments of national agricultural innovation systems in countries of Central Asia, South Caucasus and Turkey. The first chapter gives an introduction of the project “Capacity Development for Analysis and Strengthening of Agricultural Innovation Systems in Central Asia and Turkey”, out of which the current publication reports about one of the project outputs achieved.

Various authors have identified the potential relevance of innovation system approaches for inclusive innovation, that is, the means by which new goods and services are developed for and by the poor. However, it is still a question how best to operationalize this. Innovation platforms (IPs) represent an example of putting an inclusive innovation system approach into practice by bringing different types of stakeholders together to address issues of mutual concern and interest with a specific focus on the marginalized poor.

One option for practically applying innovation systems thinking involves the establishment of innovation platforms (IPs). Such platforms are designed to bring together a variety of different stakeholders to exchange knowledge and resources and take action to solve common problems. Yet relatively little is known about how IPs operate in practice, particularly how power dynamics influence platform processes.This paper focuses on a research-for-development project in the Ethiopian highlands which established three IPs for improved natural resource management.

The present case study investigated a policy-induced agricultural innovation network in Brandenburg.

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.

Communications and knowledge management are essential activities to help the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) achieve its development outcomes. Strategic and complementary communication helps highlight success stories, support a change in behaviour in next-users while expanding the program’s reach. This in turn will help Flagships and regions follow impact pathways and reach outcomes. This is CCAFS Program Approach to Communication.

The workshop was attended by over 50 people including partners from CGIAR centres, Regional Research Institutes and Centres, Universities, woredas and kebeles working with Africa RISING. The workshop discussed the use of different approaches, methods and tools for the efficient and
sustained functioning of innovation platforms (IPs) that could improve research and subsequent scaling up of suitable technologies and value chains to improve livelihoods.

The presentation was given at the ILRI Policy, Trade and Value Chains Program (May–November 2014) Seminar, ILRI Nairobi, 21 November 2014. It included the introduction of Dairy Development Forum, background and purpose, literature review, methodology, results and discussions, and conclusions.

Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.