L’agriculture souffre d’un important déficit d’image : qualité des produits jugée médiocre, non respect de l’environnement, pénibilité des métiers… La réalité est cependant tout autre. Tout en restant profondément ancré dans la vie des territoires, ce secteur est devenu numéro deux de la robotisation. De nouvelles méthodes fondées sur le traitement des données, des outils innovants, intelligents et connectés, ainsi que des réseaux de diffusion des innovations et d’entraide contribuent à transformer en profondeur l’agriculture.
The main objective of this paper is to describe the AgroFE and Agrof-MM projects. This projects aims to develop an agroforestry training system based on a common framework and core content, and to promote training at European level. The knowledge databank...
This paper contributes to the ongoing discussion in the scientific literature on the advantages and disadvantages of privatization of extension and advisory services and the shift from thinking in terms of the traditional Agricultural Knowledge System towards a broader Agricultural Innovation...
In this paper the High Nature Value (HNV) livestock farming systems are defined. These systems are found mainly in marginal areas where physical factors, and in some cases social factors, have prevented intensification of land-use. NV-LINK is a Horizon2020 project that seeks to improve...
This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008. The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a...
Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all...
