The main objective of the Guidelines is to provide a non-binding complement to other guidelines and offer advice to RDP evaluation stakeholders on how to carry out the evaluation activities for answering the common evaluation questions related to innovation. Since the RDP’s effects on innovation in rural areas can be expected to take place, most likely, in the long-term, the guidelines focus in particular on those evaluation related activities, which will be reported in the AIR in 2019 and in the ex post evaluation. The Guidelines are structured in three parts:
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 is a component of the project training system. It aims to gather and share a set of documents, resources that partners can use and which will have been accessed by learners and the public users.
The aim of this research is to explore the different policy frameworks adopted by the Italian regions to support cooperation for innovation projects in RDPs in the period 2007-2013. These were analysed against the conceptual background outlined by the European Commission and the international literature on the interactive approach to innovation processes (EC, 2013). The study is supported by the use of a mixed-methods approach, based on desk and on field research, qualitative and quantitative methods
This material was presented duting the conference: Big Data, a multiscale solution for a sustainable agriculture in Copenhagen Denmark in 2017 and brings an overview of the technological innovations of the French agricultural sector.
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).
In light of the discussion on ‘best-fit' in pluralistic advisory systems, this article aims to present and discuss challenges for advisory services in serving various types of farmers when they seek and acquire farm business advice.The empirical basis is data derived from four workshops, five interviews with staff from advisory organizations, and interviews with 11 farmers.Emerging configurations serve different types of farmers,that is, private advisors serve different clients in different ways; these could be considered subsystems within the overall advisory system.
Precision Agriculture (PA) has been advocated as a promising technology and management philosophy that provides multidimensional benefits for producers and consumers while being environmentally friendly. In Europe, private stakeholders (farm advisors, farm equipment producers, decision support providers, farmers) and research institutions have been trying to develop, test and demonstrate adoption of precision agriculture solutions with governments financing big projects in these areas. Despite these efforts, adoption is still lagging behind expectations.
Farmers’ experiments can be defined as the autonomous activities of farmers to try or introduce something new at the farm, and include evaluation of success or failure with farmers’ own methods. Experiments enable farmers to adapt their farms to changing circumstances, build up local knowledge, and have resulted in countless agricultural innovations. Most research on the topic has been conducted in countries of the south.
As the PAEPARD project is complex and multi-faceted, ensuring that appropriate information is made available to users in a timely manner and in a form that can be easily understood and used has been a major challenge.
Vu la complexité et les nombreuses facettes du projet PAEPARD, toute la difficulté est de s’assurer de communiquer les informations appropriées aux utilisateurs, rapidement et sous une forme facile à comprendre.