The study describes the historic development of the Danish Agricultural Advisory Services (DAAS). This is the case of a national advisory system owned and managed by the farmer organizations and financed with public subsidies combined with farmer/user payments, gradually developed to full user payment. The links and relations between the empowerment of farmers and their organizations, their evolving roles in advisory systems, and the innovative financial mechanisms in extension, especially pull-mechanisms, are analyzed.
The first phase in the development of the Common Framework on Capacity Development for Agricultural Innovation systems (CD for AIS) consisted of the review of the existing literature, building up a repository of relevant documentation on agricultural innovation in general and AIS and CD for AIS. This report summarizes this first phase. In particular, Section 1 covers this brief introduction. Sections two and three focus on the review of relevant literature, presenting the methodology used and the structure of the repository itself.
Innovation is high on the agenda, in view of the deep economic crisis and the challenges of feeding 9 billion people in 2050 in a more sustainable way. For an effective and efficient response the Agricultural Knowledge and Innovation Systems (Akis) needs to innovate itself and adopt new ways of working.
This paper, presented at "Food 360°: International Conference-cum-Exhibition on Agribusiness and Food Processing, November 05-06, 2012, Hotel Taj Krishna, Hyderabad", focuses on Indian agriculture, which remains the most important sector for India. However, despite its importance, various indicators from the sector show that all is not well.
This presentation argues the need of green growth in agriculture, analyzes features of the innovation systems and ends with some policies practices. The presentation has been prepared for "Innovation and Modernising the Rural Economy", OECD’s 8th Rural Development Policy Conference, 3-5 October 2012 (Krasnoyarsk, Russian Federation).
This paper briefly analyse the genesis, development and change in public sector-led extension approaches in India showing its temporal pattern, emerging innovations in extension approaches and the way forward. It discusses decentralized, community based, pluralistic extension approaches and their opportunities as well as limitations in changing agricultural and natural resources scenario.
In this paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, the authors discuss a conceptual framework that understands innovation processes as the outcome of collaborative networks where information is exchanged and learning processes happen. They argue that technical and economic factors used to analyse drivers and barriers alone are not sufficient to understand innovation processes.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
The private sector’s presence in agricultural advisory services worldwide has been on the increase for over three decades. This trend has also been observed in the Mantaro Valley (Peru), in a context of dairy family farming. The objective of the communication is to analyse the modalities of advisory services privatization and assess the consequences of this privatization for the farmers and their livestock systems. Data were collected through input suppliers, different types of advisers and producers interviews.