Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.

This report provides an overview of the Tropical Agriculture Platform (TAP) since its inception in 2012, when it was officially launched by FAO at the first G20 Meeting of Agriculture Chief Scientists (MACS) in September 2012 in Mexico, until December 2018. The G20 Agriculture Deputies agreed on this stock taking exercise that started under the 2018 Argentinian G20 Presidency.

This exercise was done on the occasion of the G20 MACS meeting in April 2019 in Japan. Its purposes are the following:

Though Odisha is India’s top sweetpotato-producing state, most farmers grow low-yielding varieties of limited nutritional value. The Odisha Directorate of Horticulture and the International Potato Center (CIP) spent four years promoting improved varieties and good agricultural practices in four districts of Odisha, resulting in a 25 per cent growth in the area dedicated to the crop, a 17 per cent increase in farm productivity, and a 40 per cent increase in farmer incomes within the project areas; as well as the introduction of a nutritious, orange-fleshed sweetpotato variety.

This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.

This Coaching Process guide was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.

The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.

This guidebook is meant to help facilitators. Its purpose is to empower organizations with the tools and the skills needed to identify practices which can be brought to scale, to describe and analyze them in detail, and to share the lessons they teach. More specifically, this project aimed to facilitate the adoption of an experience capitalization process in rural development initiatives.

This study investigated how value chain governance influences farmer participation in vegetable markets and food security in Kenya. This study employed exploratory case study design to provide chain architecture, isolate primary actors, their roles, relations, constraints and opportunities for upgrading by smallholders.

On-farm agricultural innovation through incorporation of new technologies and practices requires access to resources such as knowledge, financial resources, training, and even emotional support, all of which require the support of different actors such as peers, advisors, and researchers. The literature has explored the support networks that farmers use and the overall importance ranking of different support actors, but it has not looked in detail at how these networks may differ for different farmers.

The paper is structured as follows. First, definitions and conceptualisations of trust are considered, before moving on review the literature on trust in rural network models of business support. Next, the empirical study design is described, which consisted of case studies of business advice programmes offered to artisanal food enterprises in Northern Ireland and displaying varying degrees of trust. The results of the empirical study are reported and then discussed, with reflections on how trust evolved in each case, and the ways in which trust was lost