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.
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.
Organic farming can play an important role in rural development and food production, by reinforcing the trend toward sustainable agriculture and its purpose of ecosystem conservation. The agribusiness of organic farming is particularly relevant in family farming, given the labor availability and the short marketing circuits. The innovative techniques of organic farming, namely with soil fertility, weed and pest control, opens a wide range of possibilities in its development and extension.
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.
This report presents the main results of the EU-funded IN-SIGHT project ‘Strengthening Innovation Processes for Growth and Development’. The authors sketched out a conceptual framework and knowledge base for a more effective European policy on innovation in agriculture and rural areas. Both conceptual framework and knowledge base are consistent with the new European agenda for agricultural and rural policy and sensitive to the diversity of the European agricultural and rural systems.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.
The development of future food systems will depend on normative decisions taken at different levels by policymakers and stakeholders. Scenario modeling is an adequate tool for assessing the implications of such decisions, but for an enlightened debate, it is important to make explicit and transparent how such value-based decisions affect modeling results.