The Excel workbook contains some preconfigured spreadsheets that can be used for entering data collected through the capacity scoring questionnaire (Version 1 and Version 2), which has been developed in the context of the the CDAIS project, and to perform some basic analysis as well as visualize the data.

In this paper the High Nature Value (HNV) livestock farming systems are defined. These systems are found mainly in marginal areas where physical factors, and in some cases social factors, have prevented intensification of land-use. NV-LINK is a Horizon2020 project that seeks to improve the socio-economic and environmental sustainability of HNV farming in 10 Learning Areas, and more widely across the EU, by promoting innovation.

The paper describes an attempt to improve the uptake of a new agricultural Decision Support System (aDSS). The approach was to design it with an understanding of the successes and failures of predecessors and of the changes in patterns of relevant technology use over time, the “usage context”. Even though its predecessor, IrriSatSMS, showed great potential in pilot seasons, that system failed to be commercialised successfully.

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.

Between 2012 and 2016, in collaboration with research and development partners, ILRI undertook specific action research and capacity development interventions to address identified challenges and generate evidence for wider applicability along the pig value chain. The work was funded by three major bilateral donors, the European Commission/International Fund for Agricultural Development (EC/IFAD) and Irish Aid.

This brochure presents startup profiles, an incubatee coffee table book which captures the brief profile of agriculture startups being incubated at a-IDEA, the Technology Business Incubator of National Academy of Agricultural Research Management (ICAR-NAARM) supported by Department of Science & Technology of India. The incubation centre at NAARM is providing a conducive environment for growth of startups in agriculture.

Integrated soil fertility management (ISFM) has been promoted by research and philanthropic organizations as well as governments in an attempt to increase crop yields and improve livelihoods of smallholder farmers in Africa. As this has largely been a continent-wide initiative, it is surprising that there is still scant information on its impact on crop yields and household income. This paper uses a counterfactual model to assess ISFM impact on yields and total household incomes using farm household data from Tamale (northern Ghana) and Kakamega (western Kenya).

In Mexico there are public programs that promote the improvement of the technical and productive conditions of the agriculture sector through organisations such as Produce Foundation Puebla (FUPPUE). This organisation has implemented diverse mechanisms oriented to promoting farmers' technological and productive capabilities. However in some cases when the FUPPUE leaves them, farmers' capabilities and performance decrease within a short period of time.

In light of the discussion on ‘best-fit' in pluralistic advisory systems, this article aims to present and discuss challenges for advisory services in serving various types of farmers when they seek and acquire farm business advice.The empirical basis is data derived from four workshops, five interviews with staff from advisory organizations, and interviews with 11 farmers.Emerging configurations serve different types of farmers,that is, private advisors serve different clients in different ways; these could be considered subsystems within the overall advisory system.

Managers and policy makers have struggled to develop effective monitoring systems to track the evolution of research organizations. This paper presents the first components of a novel monitoring system for monitoring such organizations. These components can be used to generate detailed static pictures of the actual activities and partnerships of a large research program or organization, in other words, what the organization is actually doing, with whom, where, how and for what purpose.