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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2426 - 2430 of 9579Influence of land use/land cover (LULC) changes on atmospheric dynamics over the arid region of Rajasthan state, India
The present study examines the long-term effects of land use/land cover (LULC) changes in Rajasthan state, India on land-atmosphere fluxes and, possibly in precipitation and aerosol loading. By comparing the satellite observations from Landsat MSS (1972–73) and IRS-P6 AWiFS (2006–07) considerable LULC changes are observed, an increase in crop-land and vegetated areas of ∼57% in the eastern and ∼68% in the western Rajasthan.
Determination of land use and land cover changes in Canakkale province using remote sensing
The Landsat TM/ETM images obtained in 2000, 2006 and 2010 were used to generate Land Use and Land Cover (LULC)maps of Canakkale province including forest,grassland,agriculture,water and residential area bare soil classes.
Çalışmada 2000, 2006 ve 2010 yıllarında alınan Landsat TM/ETM uydu görüntüleri kullanılarak Çanakkale ilinin orman, mera, tarım, su, yerleşim çıplak alan sınıflarını içeren Arazi Kullanım ve Bitki Örtüsü (AKBÖ) haritaları yapılmıştır.
Uncertainty in hydromorphological and ecological modelling of lowland river floodplains resulting from land cover classification errors
Land cover maps provide essential input data for various hydromorphological and ecological models, but the effect of land cover classification errors on these models has not been quantified systematically. This paper presents the uncertainty in hydromorphological and ecological model output for a large lowland river depending on the classification accuracy (CA) of a land cover map.
Assessment of forest disturbances by selective logging and forest fires in the Brazilian Amazon using Landsat data
The rapid environmental changes occurring in the Brazilian Amazon due to widespread deforestation have attracted the attention of the scientific community for several decades. A topic of particular interest involves the assessment of the combined impacts of selective logging and forest fires. Forest disturbances by selective logging and forest fires may vary in scale, from local to global changes, mostly related to the increase of carbon dioxide released into the atmosphere.
Partial enclosure of the commons
We examine the efficiency, distributional, and environmental consequences of assigning spatial property rights to part of a spatially-connected natural resource, a situation which we refer to as partial enclosure of the commons. The model reflects on a large class of institutions and natural resources for which complete enclosure by a sole owner may be desirable, but is often institutionally impractical.