This paper analyzes how the Papa Andina Partnership Program, based at the International Potato Center, functions as an innovation broker in the Andean potato sector. As a regional initiative, Papa Andina operates as a second-level innovation broker, backstopping national partners who facilitate local innovation processes in their respective countries. Papa Andina works to strengthen local innovation capacity and to foster innovations in innovation the development of more effective ways of bringing stakeholders together to produce innovations that benefit small-scale farmers.

This paper presents an overview of current opportunities and challenges facing efforts to increase the impact of rural and agricultural extension. The starting point for this analysis is in recognition that the days when agricultural extension was synonymous with the work of public sector agencies are over.

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 presentation was prepared for the meeting of the Executive Committee of FORAGRO which was held in Montpellier, France, on march 2010. The main points discussed here are the following:
- Latin America and the Caribbean (LAC) context from the perspective of agricultural Research, Development & Innovation (RD&I)
- FORAGRO – Stakeholders and Lines of Action
- Processes of identification of priorities in LAC
- Regional Consultation Process for the Global Conference on Agricultural Research for Development (GCARD)
- Priority topics for LAC Region

The World Bank has a long relationship with Uruguay's agricultural sector, expanding over a period of more than 60 years in which several projects and various analytical and advisory assistance initiatives have been implemented.

One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of natural hazards. Another problem of changes in the Earth's climate is its impact in the agriculture production. In this scenario, application of statistical models as well as development of new methods become very important to aid in the analyses of climate from ground-based stations and outputs of forecasting models. Additionally, remote sensing images have been used to improve the monitoring of crop yields.

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.