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.

This paper investigates multi-stakeholder arrangements initiated by businesses and NGOs from the North that aim to enhance a more sustainable agricultural production at specific localities in Southern countries. The study aims to better understand the search for concerted action in multi-actor arrangements.

The Applied Research and Innovation Systems in Agriculture project (ARISA) started in December 2014 with the aim of increasing net farm income for 10,000 smallholder farming households in eastern Indonesia. The project was designed to address a key challenge in agricultural research for development: how to ensure that proven research outputs1 are available and accessible for use in farming communities.

This paper reflects on the experiences of the Applied Research and Innovation Systems in Agriculture (ARISA) project to caralyse agricultural innovation by bringing RIs and private sector (PS) actors together in partnerships. Facilitating partnerships to caralyse innovation requires capacity building of individuals as well as institutional change. This paper examines the approaches to parnering for innovation, successes, challenges and lessons learned

This note presents an outline of the main strands of the innovation systems research associated with the ARISA project. It begins by locating this in the current discourse on concepts and policy perspectives on innovation and capacity building before setting out key areas of research inquiry and research activities

The main challenge in Indonesia to an innovation-led approach to increasing farm productivity and farmers’ incomes is not due to a lack of good ideas by researchers but rather the lack of effective mechanisms making these ideas available and accessible to farmers.

Applied Research and Innovation Systems in Agriculture (ARISA) was implemented by CSIRO in collaboration with Indonesian partners. This multi-year program seeks to strengthen collaboration between public research organisations and agribusinesses in order to incubate and deliver technology and business solutions appropriate to smallholder farmers. The geographic focus of the program was Eastern Indonesia.

Farmer group institutions have been being a target group for various innovations in the agricultural development program. Unfortunately, the aspect of their institutional system is getting ignored frequently. This study aimed to know the farmer group institution performance’s determinant factors and its effect on the agricultural innovation implementation sustainability. This was a longitudinal study using a qualitative approach involving ten farmer group institutions (mixed crop-livestock farming) done in Lombok island.

An extension help farmers in their efforts to increase production and quality of their products in order to improve their welfare. Therefore, the extension has many roles, among others as a mentor farmer extension, organizer, coach technicians and a bridge between family farmers and research institutions in agriculture because of the existence of agricultural extension field is important for farmers. Extension activities in the desa Tanjung Gunung one of which was given to cocoa farmers.

This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).