The usual linear top-down approach of the innovation process has been transformed into an 'ecological vision' in which regions make up the appropriate scale for the elaboration of agricultural innovation systems (AIS). Interfaces such as institutional arrangements have been created in industrial countries. However, there is still a lack of interaction among parties involved in innovation for the agricultural sector, especially in the outermost regions and in developing countries.
In this paper the authors used a network perspective to study the micro level of agricultural innovation systems and investigate the different roles and functions that collaborating actors have to perform to spread their innovation both horizontally and vertically. Based on a literature review, we distinguish between three separate network functions: (1) learning and knowledge co-creation, (2) upscaling and institutional entrepreneurship and (3) outscaling and innovation brokerage.
Participatory approaches have been discussed as alternatives to and complementary elements of more conventional research on sustainable land use and rural development in upland areas of Southeast Asia. Following a brief overview of the history of participatory approaches (Sect. 9.1), this chapter discusses the potential and limitations of applying Participatory Rural Appraisal (PRA) tools to field research practice in Vietnam (Sect. 9.2) and of involving stakeholders in priority setting, modeling and environmental valuation in the Southeast Asian uplands (Sect. 9.3).
Although many agronomic researchers currently focus on designing and developing decision support systems, they rarely discuss the methodological implications of such work. In this paper, with the examples of two decision support systems, we propose methodological elements for conducting the participatory design of such tools. The authors proposition aims at building dialogue between designers and users but also between humans, tools and work situations.
Under the guidance of the agricultural system theory, operational research theory and decision-making support system theory, the regional agricultural development decision support system (RADDSS) was developed in this study ,in which different analysis method and models was integrated. By providing data, right models and analysis methods, RADDSS can assist decision-makers and administrators to solve half-structured and unstructured problems, improving level of management on agriculture. The agriculture in Xuchang has been analyzed using the system constructed in this study.
Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles to establish how research is actually put into use. The first, which concerns the configurations of organisations and their relationships associated with innovation, reveals the additional set of resources and expertise that research needs to be married to, and sheds light on the types of arrangements that allow this marriage to take place.
In recent years the there has been an increasing recognition of the potential of the innovation systems concept to provide new ways of making more effective use of agricultural research and improve its impact on socially desirable outcomes. This paper documents the experiences of a group of researchers in India who experimented with this framework and tried to operationalise its principles in project design. The paper comments on some of the implications of using this approach and the challenges it presents for implementers of agricultural research projects in developing countries.
A group of researchers and industry writers have constructed a narrative of technological triumph for Bt cotton in India, based on an empirical record of superior performance compared to conventional seed. Counterclaims of Bt cotton failure are attributed to mutually reinforcing interactions among non-governmental organisations which avoid rigorous comparisons. However, researchers and the biotechnology industry are also engaged in a similar authentication loop for generating, validating, and publicising such facts.
This paper analyses a biotechnology-focused project which aims to promote the development and adoption of tissue culture bananas by small-scale farmers in Kenya. The paper highlights the generation of several important narratives that are used to justify the development and dissemination of this technology. First, a disaster narrative, a series of claims regarding rural livelihoods and banana production in Kenya, is generated. This creates a political and technical space for the creation of a new science that can solve these problems.
Agricultural research and innovation has been a major source of agricultural growth in developing countries. Unlike most research on agricultural research and innovation which concentrated on the role of government research institutes and the international agricultural research centers of the Consultative Group for International Agricultural Research, this paper focuses on private sector research and innovation. It measures private research and innovation in India where agribusiness is making major investments in research and producing innovations that are extremely important to farmers.