This report compiles country-reports that describe the agri-food research landscape in 2006/2007 in 33 countries associated to the 6th Framework Programme (FP6), which defined the European for the period from 2002 to 2006. Each country-report presents information about the main research players in 2006/2007 and about the current trends and the future needs for research topics and for the organisation of the agri-food research system.
This document provides a review of existing reports regarding the agri-food research landscape in 2006/2007 for 14 EU countries (Bulgaria, Croatia, Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia, Slovenia, Turkey) and also explores trends and needs in other EU or associated countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Luxembourg, Norway, Portugal, Spain, Sweden, Switzerland, The Netherlands, United Kingdom).
Mobiliser les approches issues de l’Intelligence Artificielle (IA) en Santé Animale (SA) permet d’aborder des problèmes de forte complexité logique ou algorithmique tels que rencontrés en épidémiologie quantitative et prédictive, en médecine de précision, ou dans l’étude des relations hôtes × pathogènes.
The European small ruminants (i.e. sheep and goats) farming sector (ESRS) provides economic, social and environmental benefits to society, but is also one of the most vulnerable livestock sectors in Europe. This sector has diverse livestock species, breeds, production systems and products, which makes difficult to have a clear vision of its challenges through using conventional analyses. A multi-stakeholder and multi-step approach, including 90 surveys, was used to identify and assess the main challenges for the sustainability of the ESRS to prioritize actions.
This presentation on the innovation system approach was presented to the Oromiya BoARD meeting in Addis Ababa, Ethiopia, 26 July 2007.
Esta guía práctica se preparó en el marco del proyecto Desarrollo de capacidades para sistemas de innovación agrícola (CDAIS), una asociación mundial (Agrinatura, FAO y ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes interesadas clave para innovar en sistemas agrícolas complejos. lograr mejores medios de vida rurales. CDAIS utiliza un enfoque de ciclo de aprendizaje continuo para apoyar los sistemas nacionales de innovación agrícola en ocho países de África, Asia y América Central.
Esta guía fue producida por la FAO como parte del Proyecto de Desarrollo de Capacidades para Sistemas de Innovación Agrícola (CDAIS). El objetivo de este documento es proporcionar pautas prácticas para implementar ferias para fortalecer la innovación agrícola. Una feria de innovación es un evento organizado para facilitar la correspondencia de la demanda y la oferta y para promover el aprendizaje, y el intercambio de información, conocimiento y experiencia práctica sobre temas específicos.
Ces directives sont produites par la FAO dans le cadre du projet de développement des capacités pour les systèmes d'innovation agricole (CDAIS). L'objectif de ce document est de fournir des directives pratiques pour mettre en œuvre des événements sur le marché afin de renforcer l'innovation agricole. Un marché est un événement organisé pour faciliter l'adéquation de la demande et de l'offre et pour promouvoir l'apprentissage, le partage et l'échange d'informations, de connaissances et d'expériences pratiques sur des sujets spécifiques.
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
The mobile phone technology is an important tool to enhance farmers’ to access better marketing services, agricultural extension services, health extension services and other mobile services. This study also tried to assess rural households’ mobile phone usage status for different rural innovation services in Gomma Woreda, Southwest Ethiopia. Structured interview schedule, focus group discussion, key informant interview and personal observations were used as a method of data collection tools for this study.