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AGRIS
AGRIS
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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 AGROVOCFAO’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 CGIARGFAR 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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 441 - 445 of 9580

Integration of land use and land cover inventories for landscape management and planning in Italy

Journal Articles & Books
Diciembre, 2016
Italia

There are both semantic and technical differences between land use (LU) and land cover (LC) measurements. In cartographic approaches, these differences are often neglected, giving rise to a hybrid classification. The aim of this paper is to provide a better understanding and characterization of the two classification schemes using a comparison that allows maximization of the informative power of both. The analysis was carried out in the Molise region (Central Italy) using sample information from the Italian Land Use Inventory (IUTI).

Large‐scale Modeling of Soil Erosion with RUSLE for Conservationist Planning of Degraded Cultivated Brazilian Pastures

Journal Articles & Books
Diciembre, 2016

Pasture degradation is one of the major environmental and economic problems of Brazilian livestock production. Based on the estimates of soil loss in 140,297 km² pasturelands of Goiás State and the Federal District, the effects of land use and management and conservation practices on soil erosion by water were evaluated. Soil loss was estimated with the empirical revised universal soil loss equation model under four scenarios of land use and management of pastures and the implementation of terraces. The effects of converting hilly areas into permanently preserved areas were also evaluated.

comparison of the means and ends of rural construction land consolidation: Case studies of villagers' attitudes and behaviours in Changchun City, Jilin province, China

Journal Articles & Books
Diciembre, 2016
China

Rural construction land consolidation (RCLC) is an innovative approach to coordinating the outmigration of a rural population and the increase in rural housing land, thereby protecting farmland and ensuring food security, adding to urban construction land quotas, and improving the rural habitat environment in China. Since 2005, several different models or approaches to RCLC have been practiced by local governments.

Life at the interface: above- and below-ground responses of a grazed pasture soil to reforestation

Journal Articles & Books
Diciembre, 2016

Conversion of agricultural lands to mixed species woody plantings is increasingly being undertaken as a means of sequestering C and increasing biodiversity. The implications of such changes in land use for soil communities, and the ecosystem services they provide (e.g., nutrient and C cycling), are relatively little understood. Results of a detailed study of vegetation, soil physicochemical properties and soil communities (primarily microbial) to reforestation of a pasture (15 years post reforestation), and its immediately adjacent un-restored pasture, are presented.

Quantifying land surface temperature change from LISA clusters: An alternative approach to identifying urban land use transformation

Journal Articles & Books
Diciembre, 2016

Despite the potential to provide new insight into the underlying heterogeneity of urban thermal landscapes, local indicators of spatial autocorrelation (LISA) remains underutilized in land surface temperature (LST) related study. The present research applies local Moran's I as a unique approach to recognize the pattern of statistically significant LST increase by detecting clusters of localized hot spots. The single channel algorithm has been applied to extract LST from nine temporal Landsat datasets ranging from 2001 to 2013.