The Outcome mapping factsheet provides a series of steps to gather information on the outcomes of the process initiated by capacity development for agricultural innovation. This tool provides an overview of the outcome mapping methodology used for planning and assessing projects/programmes oriented towards change and social transformation. A simplified version (three stages and 10 steps) is proposed, based on the original IDRC methodology and experiences from the application in the CDAIS project.
These guidelines are produced by FAO as part of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this document is provide practical guidelines to implement marketplace events to strengthen agricultural innovation. A marketplace is an event organized to facilitate matching of demand and supply and to promote learning, sharing and exchanging of information, knowledge and practical experience on specific topics.
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.
The present chapter outlines a descriptive analysis of the sorghum value chains across the globe, the identified major constraints of the sorghum value chain, the business service provisions, and suggested specific areas of interventions for upgradation of the value chain. Considering the VC of sorghum, it is very new and value addition is limited up to harvesting and marketing of whole sorghum grain.
More and more, development organizations are under pressure to demonstrate that their programs result in significant and lasting changes in the well-being of their intended beneficiaries. However, such "impacts" are often the product of a confluence of events for which no single agency or group of agencies can realistically claim full credit. As a result, assessing development impacts is problematic, yet many organizations continue to struggle to measure results far beyond the reach of their programs
Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.
This study systematically explores, analyses, reports on and synthesises research on the topic of sectoral innovation systems related to agriculture and agri-food in OECD countries. It is based on systematic mapping of the literature (academic papers published in scientific journals) in the period 1997-2017. The aim is to show the state of current knowledge on sectoral innovation systems in agri-food, in order to identify knowledge gaps and future areas for research and provide methodological and theoretical perspectives.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
Approved by TAP partners, the TAP Work Plan 2016 describes the activities to be carried out in 2016 to achieve TAP's objective of promoting more coherent and effective capacity development interventions for agricultural innovation.
Since 2004, the Institutional Knowledge Sharing (IKS) Project, managed by CIAT, has focused on scaling up project activities in CGIAR Centers and Programs, with the aim of mainstreaming knowledge sharing (KS) principles and tools. The overall objective is to contribute to organizational development, and improve CGIAR effectiveness by promoting collaborative learning and innovation, and supporting effective use of KS approaches and tools throughout the CGIAR.