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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 9121 - 9125 of 9579Fertilizer Impacts on Soils and Crops of Sub-Saharan Africa
Successful agricultural development has resulted in substantial alleviation of poverty and food security in Asia and Latin America since the 1960s. Much of this success can be attributed to the introduction of high-yielding varieties of crops, especially wheat and rice, which have addressed the constraints faced by farmers using traditional varieties. In Sub-Saharan Africa (SSA), however, productivity levels have remained stagnant despite the introduction of new crop germplasm.
VALUE OF SOIL TEST INFORMATION FOR CROP PRODUCTION
This study was conducted to determine the value of independent and joint nitrogen and phosphorus soil tests. Generalized stochastic dominance was used to estimate the value of information. Combined information from both the nitrogen and phosphorus tests was substantially more valuable than the knowledge of only one of the tests.
USING LAND EQUITY TO PROVIDE A RETIREMENT INCOME
Many retiring farmers will need to use their land equity to provide a retirement income. Based on a present value analysis, retiring farmers may either decide to sell or lease their land. The analysis is needed because taxes, liability issues, and goals of the farmer complicate the decision.
THE IMPACT OF TECHNOLOGICAL CHANGE IN AGRICULTURE DEFORESTATION: THE CASE OF IMPROVED FALLOWS IN THE PERUVIAN AMAZON
This paper uses a profit function theoretical approach and three stage least squares regression analysis for examining the relationship between land-intensifying technologies and deforestation in the Peruvian Amazon. This modeling approach permits analysis of the determinants of input technology adoption and how input technology choice effects deforestation rates.