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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 8251 - 8255 of 9579THE IRRATIONAL LAND USE IN CENTRAL-EASTERN EUROPE, EU AND OTHER CONTINENTS - AN OBSTACLE IGNORED BY NOBEL LAUREATE T. W. SCHULTZ AND NOMINEE A. O. HIRSCHMAN
Paper presented at the IAMO Forum 2004“The role of agriculture in Central and Eastern European rural development: Engine of change or social buffer?”4 – 6 November 2004, Halle (Saale), Germany
SPATIAL TARGETING STRATEGIES FOR LAND CONSERVATION
Purchasing development rights is a major mechanism for the protection of environmental quality and landscape amenities. This paper provides a targeting strategy for protecting multiple environmental benefits that takes into account land costs and probability of land use conversion. We compare two strategies. Subject to a budget constraint on parcel purchases, the standard strategy is to target parcels with the highest ratio of environmental benefits to land costs. The standard strategy selects parcels even if there is little probability that the parcel would otherwise be converted.
History of the Priest River Experiment StationPriest River Experiment Station
History of the Priest River Experiment StationPriest River Experiment Station
THE EFFECTS OF RESIDENTIAL MINIMUM LOT SIZE ZONING ON LAND DEVELOPMENT: THE CASE OF OAKLAND COUNTY, MICHIGAN
Considerable theoretical and empirical debate has addressed the effects of minimum lot size zoning regulations on the development of land. The direction of this relationship certainly has relevance for policy. Previous studies have used econometric techniques to estimate this relationship. This paper uses a land use share multiple regression model in which the dependent variable is the natural logarithm of the ratio of acres developed from 1990-2000 to acres not developed over the same time period.