This report deals with innovation opportunities in the Rice Value Chain.

The following is a summary that introduces the report.

This report deals with selected innovations in Nigeria. 

The following is a summary that introduces the report.

This report deals with the adoption of technological innovations in the case of rice farming in Togo.

The following is a summary that introduces the report.

The Policy Compendium for Rural Advisory Services (RAS) is a tool that contributes to filling the gap between the rural advisory services (RAS) policy environment and RAS efforts in the field. It helps direct decisions and facilitate successful policy processes and outcomes in extension and advisory services by making knowledge accessible, fostering synergies and promoting policy processes to improve RAS and rural development. It has two purposes.

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 2017. The G20 Agriculture Deputies agreed on this stock taking exercise that started under the 2018 Argentinian G20 Presidency.

Purposes of the exercise are the following:

This document is intended to serve as a resource for assessing capacity needs in a project or programme. A capacity needs assessment (CNA) is a process for identifying a project’s perceptions (through staff, partners and stakeholders) on various capacity areas that impact the work they do. The process helps identify challenges and opportunities for enhancing key skills thereby enhancing the project’s ability to achieve its objectives. The overall goal of a CNA is to determine the gap between required and existing capacities.

The proof efficacy of the Integrated Agricultural Research for Development (IAR4D) was carried out in 2010, using the household income as the principal measure of impact on poverty reduction. This assessment did not take into consideration other variables that could affect livelihood outcomes.