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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 8731 - 8735 of 9579SPATIAL RELATIONSHIPS IN RURAL LAND MARKETS WITH EMPHASIS ON A FLEXIBLE WEIGHTS MATRIX
Empirical research has shown that location and economic development are important factors in rural market. With more and more rural land being converted at the urban fringe, buyer, sellers, planners, appraisers, tax assessors, and others are expected to have an increasing need for information related to the effect of location on rural land values.In econometric land value estimation, misspecification of the variance-covariance matrix results in loss of efficiency, predictive accuracy, and biased inference. The form of the weight matrix is also important.
LAND USE ISSUES IN DELAWARE AGRICULTURE
Can Delaware's agriculture coexist (and prosper) in the face of competing land uses over the next twenty years? We believe that maintaining Delaware's agriculture as a viable land-use alternative depends on the success in addressing three critical challenges. First, will residential, commercial, and industrial land uses be forced to bear the full costs that their land-use decisions visit on Delaware agriculture? Alternatively, will agriculture be fully compensated for its contribution to Delaware's economy and quality of life?
MEASURING THE INCOME GENERATING POTENTIAL OF LAND IN RURAL MEXICO
This paper measures the potential of land to generate income and establishes the contexts under which access to land can reduce poverty. Using Mexican household data, we apply nonparametric regression methods to estimate and graphically explore the relationship between land and welfare. Results suggest that the marginal value of land depends on both the complementary and contextual assets of the poor.
Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates
Estimates of forest area were obtained for the states of Indiana, Iowa, Minnesota, and Missouri in the United States using stratified analyses and observations from forest inventory plots measured in federal fiscal year 1999. Strata were created by aggregating the land cover classes of the National Land Cover Data (NLCD), and strata weights were calculated as proportions of strata pixel counts.
ranking methodology for assessing relative erosion risk and its application to dehesas and montados in Spain and Portugal
The dehesas and montados of Spain and Portugal cover about 6 million ha and form open savannah-type woodland comprising cork (Quercus suber) and holm (Q. rotundifolia and Q. ilex) oaks. Following their decline until the 1960s, these land management practices have become valued at national and international policy-making levels for their biodiversity, aesthetic qualities and potential for tourism and recreation, but comparatively little attention has been given to consequences for soil conservation.