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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 9056 - 9060 of 9579Characteristics and ploblems of farmer's decision making processA case study on the judgment for land purchase request
OPTIMAL AGRICULTURAL LAND PRICING POLICIES UNDER MULTIPLE EXTERNALITIES IN A GLOBAL ECONOMY
Agriculture has recently been noted as a provider of non-market environmental benefits in addition to its traditional recognition as a source of negative externalities from polluting inputs. In this paper, a general equilibrium framework is used to determine optimal land subsidies and input taxes in agriculture. When agriculture generates both amenities and pollution, the optimal subsidy does not equal the net extra-market value of agricultural land.
TRADING UNDER RISK AND UNCERTAINTY IN AN AGRICULTURAL WATER MARKET IN CHILE
Risk and uncertainty in a water market will generate trading patterns that differ from those expected under conditions of perfect foresight. Although trades will occur based on differences in VMPs of water in both markets, they will also be generated by differences in risk. Some farmers will choose to reduce relative risk by purchasing additional water rights whereas others will hold few rights and rely on the spot market to meet their needs in dry years.
PARTICIPATORY ZONING TECHNIQUES AS SUPPORT TO RURAL DEVELOPMENT PLANNING AND MANAGEMENT: PRINCIPLES AND PROCEDURES, A USER'S GUIDE
1999 NORTH DAKOTA AGRICULTURAL OUTLOOK: REPRESENTATIVE FARMS 1999-2008
Net farm income for most representative farms in 2008 will be higher than in 1999. However, low profit farms, which consist of 25% of the farms in the study, may have a negative net farm income throughout the forecasting period and may not have financial resiliency to survive. This is true under both optimistic and pessimistic scenarios. All farms except low profit farms may do well under the optimistic scenario, while only high profit farms may be able to survive under the pessimistic scenario. Cropland prices are projected to remain constant.