This report has the aim of contributing to the PRO AKIS overall goal of exploring and identifying the possibilities, conditions and requirements of rural networks to enhance the farmers’ ability to create, test, implement and evaluate innovation in cooperation with other actors.In particular, the report presents two cases: the Small Fruit Cluster (SFC) and the Drosophila Suzukii Monitoring (DSM) network. The SFC is a nationwide, multi-actor network composed of several actors, interacting in the small fruit sector in Portugal.
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).
This report presents the results of a study that shall contribute to provide information on the national organisation of agricultural research and an overall picture of developments in agricultural research in 33 selected countries (current EU28 plus Iceland, Israel, Norway, Switzerland and Turkey). The study covers all areas related to agricultural and food research research including research dedicated to emerging challenges of the European agricultural and food sector in 2006/2007.
The ‘Mapping Report’ is the synthesis of the statistical information and the survey results available to describe agrifood research in European countries. The main source of information was the results of a bibliometric analysis (in the EU-33 countries), a web-assisted survey (in the EU-12+2 countries) and the country reports (for the EU-15 countries) prepared in the AgriMapping project frame in 2006 and 2007. When relevant, available complementary statistics were also used.
Recently, Agricultural Knowledge and Innovation Systems (AKISs) have gained considerable attention in scientific and political forums in the European Union (EU). AKIS is considered a key concept in identifying, analysing and assessing the various actors in the agricultural sector as well as their communication and interaction for innovation processes. Using qualitative expert interviews and organizational mapping, the features of national AKISs were investigated in selected EU member states (Belgium, France, Ireland, Germany, Portugal and the UK).
This article starts by describing the evolution of innovation in agricultural research and cooperation for development, including an historical overview of agricultural research for development from green revolution to the re-discover of traditional knowledge. Then the authors analyze participation in innovation processes and make a comparison of innovation systems and platforms targeting the agri-food sector in developing countries. A particular focus is reserved to the European regional networks and to the experience of the USAID Middle East Water and Livelihoods Initiative.
The innovation of agricultural systems management is a determinant factor that guarantees adaptation to a new paradigm of global economy, environmental protection, and social requirements. The conventional concepts of innovation, applicable to new products and processes, do not consider many characteristics of the agricultural sector, such as social innovation and innovation resulting from new or renewed processes.
In this paper it is assessed the types of knowledge networks utilised by small-scale farmers in four case studies (located in Bulgaria, Poland, Portugal, and the United Kingdom). We focus on knowledge acquired to inform three new activities being undertaken by study participants: agricultural production, subsidy access and regulatory compliance, and farm diversification (specifically agritourism).
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.