What is AGRIS?
AGRIS (International System for Agricultural Science and Technology) is a global public database providing access to bibliographic information on agricultural science and technology. The database is maintained by CIARD, and its content is provided by participating institutions from all around the globe that form the network of AGRIS centers (find out more here). One of the main objectives of AGRIS is to improve the access and exchange of information serving the information-related needs of developed and developing countries on a partnership basis.
AGRIS contains over 8 million bibliographic references on agricultural research and technology & links to related data resources on the Web, like DBPedia, World Bank, Nature, FAO Fisheries and FAO Country profiles.
More specifically
AGRIS is at the same time:
A collaborative network of more than 150 institutions from 65 countries, maintained by FAO of the UN, promoting free access to agricultural information.
A multilingual bibliographic database for agricultural science, fuelled by the AGRIS network, containing records largely enhanced with AGROVOC, FAO’s multilingual thesaurus covering all areas of interest to FAO, including food, nutrition, agriculture, fisheries, forestry, environment etc.
A mash-up Web application that links the AGRIS knowledge to related Web resources using the Linked Open Data methodology to provide as much information as possible about a topic within the agricultural domain.
Opening up & enriching information on agricultural research
AGRIS’ mission is to improve the accessibility of agricultural information available on the Web by:
- Maintaining and enhancing AGRIS, a bibliographic repository for repositories related to agricultural research.
- Promoting the exchange of common standards and methodologies for bibliographic information.
- Enriching the AGRIS knowledge by linking it to other relevant resources on the Web.
AGRIS is also part of the CIARD initiative, in which CGIAR, GFAR and FAO collaborate in order to create a community for efficient knowledge sharing in agricultural research and development.
AGRIS covers the wide range of subjects related to agriculture, including forestry, animal husbandry, aquatic sciences and fisheries, human nutrition, and extension. Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more. A growing number (around 20%) of bibliographical records have a corresponding full text document on the Web which can easily be retrieved by Google.
Members:
Resources
Displaying 8431 - 8435 of 9579Assessing farmers' willingness to participate in water banking: a case study
From social-enquiry to decision support tools: towards an integrative method in the mediterranean rural environment
Policy-relevant approaches to assessing land-use change must be based upon a number of transdisciplinary mechanisms. This approach demands a number of skills—social enquiry, modelling and soft complex systems thinking, which are necessary to facilitate an effective cross-disciplinary dialogue. Underpinning the development of these transdisciplinary skills, and the acceptance of systems as complex and subject to multiple interpretations, is the need to move away from the desire to predict and towards enhancing the capacity to adapt.
AN EXAMINATION OF THE ON-RANCH ECONOMICS OF RIPARIAN ZONE GRAZING MANAGEMENT
A simulation model of a ranch based in Southern Alberta was developed to evaluate the on-ranch economics of adopting different grazing management strategies to improve riparian health in rangeland. Under low cost scenarios, there are positive economic incentives to adopt strategies to maintain riparian zones that are already in good range condition. However, riparian zones in fair or poor range condition may require additional economic incentives to encourage ranches to adopt more costly management strategies.
ISIP - a web-based information system on integrated crop production in Germany
In modern agriculture the demand for solutions for complex problems, e.g. the optimisation of decision - making in integrated crop production, is strongly increasing. To obtain all relevant information for decision - making farmers or extension officers up to now need access to a multitude of databanks offered by different providers. In 2001 a project, funded by the German Foundation of Environmen
Predicting regional rice production in South Korea using spatial data and crop-growth modeling
It is well recognized that aggregation of the inhomogeneous data for soils, management, and weather within a land unit for crop simulation plays a key role in the scaling-up task of crop simulation at regional scales. While the other spatial data could be obtained at a desired level, weather data might not be available in mountainous regions where the production system is comprised of many small farms.