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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 8926 - 8930 of 9579Agricultural production forecasting using planning distribution model (PDM): A case study of the Nam Oon Project
For forecasting agricultural production to design cropping patterns and to utilize water effectively, a computerized agricultural production monitoring system named PDM was selected. The Nam Oon irrigation project was chosen as a case study. PDM was used for agricultural production forecasting in the Nam Oon project for ten cultivation seasons from the 1995 wet season to the 2000 dry season. The factors affecting flow in the canal and the agricultural production forecasting equation were also investigated.
LAND USE CHANGE, RESOURCE COMPETITION AND CONFLICT IN THE SOUTHERN UNITED STATES: DISCUSSION
LAND-USE CHANGE, RESOURCE COMPETITION, AND CONFLICT: DISCUSSION
LAND USE CHANGE AND COMPETITION IN THE SOUTH
The amount of land in urban and other special uses increased more than 50 percent since the 1960s in the South. Rural land converted to urban uses is directly related to increases in population in the South. Urban land-use coefficients were estimated to provide a measure of the amount of land converted to urban uses per person added to the population base. These coefficients indicate that from 1974 to 1987 two-thirds to three fourths of an acre of land was converted to urban uses for each person added to the population base.
Land Suitability Evaluation for Irrigated Wheat in Falavarjan Region (Isfahan) Using Fuzzy Set Theory
This study aims to evaluate land suitability for irrigated wheat in Falavarjan region (Isfahan) using the theory of fuzzy sets. This method differs from the usual land evaluation procedures in its use of weight for different land characteristics and in its method of determining land suitability index. The results were compared with those from parametric land evaluation method. The correlation between land indices and observed yield was higher for the fuzzy set method (r=0.35) as compared to the parametric method (r=0.14).