LAYOUT Each World Resources Institute report represents a timely, scholarly treatment of a subject of public concern. WRI takes responsibility for choosing the study topics and guaranteeing its authors and researchers freedom of inquiry. It also solicits and responds to the guidance of advisory panels and expert reviewers. Unless otherwise stated, however, all the interpretation and findings se...

the evidence from experiences and projects have revealed that favourable policy environment, resource conserving technologies, enabling external institutions, and local institutions and groups are the components and the preconditions needed for the successful implementation of sustainable agriculture. in this context, the mission of government is providing an appropriate institutional environme...

Machine learning has potential use in the understanding of information hidden in large datasets, but little is known about user perceptions of the use of the technology. In this study, datasets were solicited from agricultural researchers and processed using a machine learning workbench. The results were reported to the researchers, and then interviews were conducted with some of them to determ...

In this paper, details of Embrapa’s Information Agency will be presented. It was designed as a space for exchange of knowledge among farmers, agricultural researchers and rural extension technicians. In the system, information is organized using two criteria. Firstly, every identified resource is cataloged in accordance to Dublin Core Metadata Standard. Secondly, a set of terms belonging to the...

The working paper publication series is designed to provide users with timely research results while refinements and longer term synthesis are completed, and final reports are available. The preparation of working papers and their discussion with those who design and influence programs and policies in Mozambique is an important step in the Directorates's overall analysis and planning mission. C...

Machine learning has potential use in the understanding of information hidden in large datasets, but little is known about user’s perceptions about the use of the technology. In this study, a number of datasets were solicited from agricultural researchers and processed using a machine learning workbench. The results were reported to the researchers, and then interviews were conducted with some ...

Copyright 2010 Northeastern Agricultural and Resource Economics Association It is especially important that researchers be cautious about presenting willingness to pay (WTP) point estimates to policy makers when the estimates are sensitive to subjective decisions that the researchers make during the estimation process. It is well known that WTP point estimates are sensitive to the choice regard...