In this paper, results from a study on the use of improved coffee production technology schemes among smallholder coffee producers in three prominent coffee producing regions in Honduras are presented. The impact of various schemes (trajectories) in which different agents influence the producers’ decision to use new technologies was analyzed. In particular, there are differences in the influence of a) private coffee buying organizations and b) government and public development agencies on the innovation behavior of coffee growers.
This study examines the role of public–private partnerships in international agricultural research. It is intended to provide policymakers, researchers, and business decisionmakers with an understanding of how such partnerships operate, how they promote the exchange of knowledge and technology, and how they contribute to poverty reduction.
Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate.