In Europe, research and extension services (RES) play a relevant role in the agricultural sector. A Structural Equation Model has evaluated the impact of RES on perceived farm performance in a sample of 247 holdings. The authors interest is not only on the perceived benefits for small-scale holdings which request technical advice but also on the intermediate role of Strategic Orientations (SO), including market orientation and innovation attitude, that could improve the effectiveness of RES.

Recent research on agricultural innovation has outlined social networks’ role in diffusing agricultural knowledge; however, so far, it has broadly neglected the socio-spatial dimensions of innovation processes. Against this backdrop, the authors applies a spatially explicit translocal network perspective in order to investigate the role of migration-related translocal networks for adaptive change in a small-scale farming community in Northeast Thailand.

This paper takes a closer look at innovation systems, including the various actors involved, their interrelationships, and governance mechanisms. Innovation systems operate at different levels, in terms of structure, functioning, and performance at the national level, and from two different angles: as a macrostructure that involves different functions and key organizations working on these functions, and as the composite of different innovation networks comprising individuals and local and national organizations.

This study examines the effectiveness of mobile as a novel approach for providing targeted and equitable agri-advisory services to farmers at scale. A cross-sectional survey of farmers registered on CABI's Direct2Farm (D2F) user database was undertaken using a combination of telephone interviews, household survey and focus group discussions covering six states in India. Was used mixed method approach that utilized both quantitative and qualitative data collection methods.

Present research set out the public and private agricultural extension services with the term of human resources practices. Five districts, one from each ecological zone, were taken purposively: namely Kech, Lasbela, Kalat, Killa Saifullah and Sibi. A sample of (250) farmers and (100) public and private Extension Field Staff (EFS) was taken as sample size by using the multi-stage random sampling technique. Null hypothesis was also tested in order to know the variances in the perceptions of the respondents.

Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.