The honey production in Mexico is a relevant activity of the livestock subsector, due to the generation of jobs and income in the agricultural sector, as well as its contribution of foreign exchange. In the period from 2005 to 2015 the average annual production was 58 thousand tons, which fluctuated between 55 and 62 thousand tons. This has placed Mexico as the eighth largest producer in the world and the third exporting country.

The study explored the contribution of information and communication technology (ICT)-based information sources to market participation among smallholder livestock farmers. Use of ICTs is considered paramount for providing smallholder farmers with required market information, and also to reduce market asymmetries. A double hurdle regression was utilized to analyze data collected from 150 smallholder livestock farmers in the study area.

The adoption of innovations and Precision Agriculture Technologies (PAT) is fundamental for establishing the patterns of agricultural production. However, the dynamics of adoption of PAT by farmers differs by regions. Although there is large number of related researches, there are considerable gaps in the literature: studies on adoption of PAT can be systematically reviewed and integrated in a conceptual model of technology adoption by rural producers, which still lacking in the literature.

The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.

The study is an attempt to identify the type and channels of acquiring agricultural information by farmers; and whether this information helps them in their decisions to adopt new and improved technologies, which can then be translated into higher yield.  A unique two-period panel data sets that come from surveys conducted in 2011 and 2013 by the Central Statistical Agency in collaboration with Ethiopian Strategic Support Program were used to evaluate Agricultural Growth Program (AGP)

This article presents lessons from the rich adoption literature for the nascent research on adaptation. Individuals' adoption choices are affected by profit and risk considerations and by credit and biophysical constraints. New technologies spread gradually, reflecting heterogeneity among potential adopters, processes of learning and technological improvement, and policies and institutions. Adaptation is the response of economic agents and societies to major shocks. We distinguish between reactive and proactive adaptation.

Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated.

Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated

These advanced training materials have been produced to foster the capacity of practitioners from private, nongovernmental and public sectors on one hand, and academics and scientists on the other, to practically implement cost-efficient RWHI technologies and practices in arid and semi-arid areas. Therefore, these training materials intend to provide the required information to support proper planning, design and construction of cost-efficient RWHI technologies and practices, with special emphasis on the specific problems encountered in Ethiopia, Kenya, Mozambique and Zimbabwe.

The process of knowledge brokering in the agricultural sector, where it is generally called agricultural extension, has been studied since the 1950s. While agricultural extension initially employed research push models, it gradually moved towards research pull and collaborative research models. The current agricultural innovation systems perspective goes beyond seeing research as the main input to change and innovation, and recognises that innovation emerges from the complex interactions among multiple actors and is about fostering combined technical, social and institutional change.