Nowadays, there are a number of projects tackling on challenges around which this study is based. For instance, the ultimate goal of the current project SKIN is to create a permanent stakeholders’ association on short food supply chain (SFSC) that works on the joint economic growth of the agricultural sector through the exchange of local food practices and through coaching sessions stimulating innovation. It creates a European network of best practices in SFSC that addresses the fragmentation of knowledge in the agricultural sector and supports bottom-up innovation initiatives.
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.
For an intelligent agricultural robot to reliably operate on a large-scale farm, it is crucial to accurately estimate its pose. In large outdoor environments, 3D LiDAR is a preferred sensor. Urban and agricultural scenarios are characteristically different, where the latter contains many poorly defined objects such as grass and trees with leaves that will generate noisy sensor signals. While state-of-the-art methods of state estimation using LiDAR, such as LiDAR odometry and mapping (LOAM), work well in urban scenarios, they will fail in the agricultural domain.
This manual was produced as a resource for the National Innovation Facilitators (NIFs) across countries of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this manual is to guide the activities organization level as well as coach the national innovation facilitators. It will help them increasing their understanding of the different stages of the coaching process. This guide provides information on the general methodology of engaging, supporting and coaching actors of key national organizations to have the capacities to innovate.
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 document 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 brief introduces a set of business-plan challenges faced by digital agribusiness start-ups in ACP countries and promising ways to overcome them. Challenges covered include access to finance, knowing the customer base, sourcing data, access to technical, business and management skills and support, the policy environment, what farmers need, languages and formats, trust, and data ownership and privacy
The proposit of this brief was to look across several projects and experiences in digital agriculture and synthesize insights and lessons on what really works for nextgeneration agriculture and rural development practice and policies. The information in this brief is based on interviews held during this workshop with twelve entrepreneurs working in digital innovations for agriculture
This paper presents the results of an exploratory case-study analysis of a corn stover value-chain development process in two regions: Ontario (Canada) and Flanders (Belgium). Applying an integrated analytical framework and comparing the results with literature, we identified a number of barriers for novel value-chain development and state seven concrete actions that value-chain actors can take to overcome these barriers.
The present rise of pork demand in Benin calls for an assessment of the swine value chain (VC) to envision its development. A participatory approach is here proposed to join this assessment to a stimulation of innovation among stakeholders.