The paper discusses the role of advisory services within agricultural innovation systems; the importance of enhanced capacities for better performance at individual, organisational, and enabling environment level; the constraints and roles of actors at national, regional, and global level; and recommendations for action and partnerships to strengthen capacities and the role of advisory systems at all levels.
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.
Natural resource management practices, such as the System of Rice Intensification (SRI), have been proposed to tackle agricultural challenges such as decreasing productivity growth and environmental degradation. Yet, the benefits of system technologies for farmers are often debated. Impacts seem to be context-specific, which is especially relevant in the small farm sector with its large degree of agroecological and socioeconomic heterogeneity. This was not always considered in previous research.
The paper aims to identify barriers to the development of Learning and Innovation Networks for sustainable agriculture (LINSA). In such networks, social learning processes take place, and knowledge about sustainable agriculture is co-produced by connecting between the different frames and social worlds of the stakeholders with the help of boundary objects. Studying such processes at the interface between different knowledge spheres of research, policy and practice requires a specific methodology.
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.
Social structure, especially in the form of social networks, affects the adoption of agricultural technologies. In light of an increasing focus on new demand-driven agricultural extension approaches that leverage social networks as an opportunity, too little is known about (a) which network characteristics matter? and (b) how do specific network characteristics matter? This paper investigates the impact of social networks in relation to smallholder dairy production technology adoption in Ethiopia.