There is a growing concern by governments, retailers and consumers about the safety and quality of food. Because products are resourced on a on a global scale it becomes important that the origin of the products as well as all the treatments during production can be traced and that the production methods can be verified as good agricultural practices (GAP). This also includes considerations for the environment and sustainability.

The field of precision agriculture increasingly utilize and develop robotics for various applications, many of which are dependent on high accuracy localization and attitude estimation. Special attention has been put towards full attitude estimation by low-cost sensors, in relation to the development of an autonomous field robot. Quaternions have been chosen due to its continuous nature, and with respect to applications in the pipeline with on other platforms.

The COVID-19 pandemic is a major economic shock, throwing into question the resilience of the agrifood sector at this stage, particularly in developing countries where self-employed, wage and informal workers are threatened by food supply chain disruptions, limitations on movement and trade restrictions. Even before the crisis, small and medium agribusinesses were often considered to be credit-constrained and extremely vulnerable to shocks.

This manual provides a set of conceptual definitions and practical implementation protocols for knowledge and scaling hubs. Both concepts of knowledge and scaling hubs are developed to aggregate, leverage, and coordinate the efforts undertaken by pilot research project with larger development programs and local scaling dynamics.

The objective of this paper is to analyse the olive oil value chain (OVC) in the Governorate of Medenine (south-east of Tunisia) and the relationships between its main operators for an effective involvement and better performance and resilience of olive sector. Based on semi structured interviews and participatory multi-stakeholders’ workshops, OVC has been analysed and described. MACTOR approach has been applied to establish linkages among chain operators and activities in a partnership approach.

Also known as CD4AIS. This interactive guidebook brings together tools and resources to help practitioners design and implement capacity development activities with an innovation systems approach in mind. The guidance provided here is not prescriptive.

A worthy agricultural innovation system (AIS) is one that that helps an agricultural sector be productive, sustainable and resilient and facilitates reduction in poverty and malnutrition. How can an AIS be made resilient in the context of the COVID-19 pandemic is a question pondered in this note. The key issue will be continued strong investment in knowledge and technology creation that underpins growth in productivity and the active pursuit of mechanisms that make agriculture more resilient to the emerging environments challenges around the world.

The IAR4D concept has generated a large volume of success stories on many Innovation Platforms where it was implemented for the proof of concept and on the platforms of Complementary projects. It is noteworthy that in course of developing the IAR4D concept FARA engaged is series of trial efforts to arrive at a valid framework for the implementation of the IAR4D concept, the Innovation platform was developed from these thoughts and harmonization of knowledge and experience.

The goal is to improve capacity for joint innovation, and strengthen this capacity at partnership, organizational and institutional/policy level, through an iterative process with the different stakeholders involved i.e. action and reflection, consolidation of lessons learned and re-planning. Preparatory actions must be well coordinated to ensure success and continuity of the CDAIS project.”
 

Flyer on CDAIS in Angola: seeds cooperative, rural entrepreneurship and rice development.