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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 9181 - 9185 of 9579THE DEMAND FOR PRIVATE PROPERTY RIGHTS: LAND TITLING, CREDIT, AND AGRICULTURAL PRODUCTIVITY IN MEXICO
Land titles can increase agricultural productivity by increasing access to collateralized credit. However, increased credit use depends on the assumption that farmers face asset-based credit rationing. This assumption is tested using data from Mexico's voluntary land titling program. The results do not support the existence of widespread credit rationing.
MODELLING THE 1992 CAP REFORM: DEGREE OF DECOUPLING AND FUTURE SCENARIOS
We model CAP reform in order to measure the response of production and land allocation to compensatory payments. The application refers to a sample of farms in Italy. The model allows us an analysis of the degree of decoupling and a simulation of the impact of the "Agenda 2000" proposals.
Food security and irrigation development in Sri Lanka: past achievements and future prospects. Paper 72 of Session 20
CAN AGRICULTURE AND GROWTH COEXIST? PROCEEDINGS
Contents: Virginia Farming in Transition, by Wayne D. Purcell; Growth in Virginia: People and Jobs on the Move, by Todd McNew and Bradford Mills; Managing Agriculture and Growth in Virginia: The Role of Planning and Zoning, by Michael Chandler; Tools and Incentives to Manage Agriculture and Growth, by Jesse J. Richardson, Jr.; Preserving Farmland: A National Imperative, by Mary Heinricht
MODELING IMPACTS OF SOIL CONSERVATION ON PRODUCTIVITY AND YIELD VARIABILITY: EVIDENCE FROM A HETEROSKEDASTIC SWITCHING REGRESSION
The impact of soil conservation adoption on yield and yield risk is investigated using a conditionally heteroskedastic production function with endogenous switching. Analysis shows that controlling for plot-specific factors, adopters exhibit lower yields and higher yield variance than non-adopters. Regression results indicate soil conservation increases yields and reduces yield variance.