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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2451 - 2455 of 9579Rule-based impervious surface mapping using high spatial resolution imagery
Impervious surface mapping has become a recent concern in remote-sensing applications because of worldwide urban growth and the resultant environmental changes. However, many effective impervious surface mapping techniques developed for moderate-resolution imagery are not applicable to high spatial resolution imagery such as that of IKONOS and the Advanced Land Observing Satellite (ALOS) due to their limited number of spectral bands and the lack of middle-infrared bands.
Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach
We have investigated multi-temporal polarimetric synthetic aperture radar (SAR) data for urban land-cover classification using an object-based support vector machine (SVM) in combinations of rules. Six-date RADARSAT-2 high-resolution polarimetric SAR data in both ascending and descending passes were acquired in the rural–urban fringe of the Greater Toronto Area during the summer of 2008.
Sub-pixel mapping of remotely sensed imagery with hybrid intra- and inter-pixel dependence
Sub-pixel mapping of remotely sensed imagery is often performed by assuming that land cover is spatially dependent both within and between image pixels. Intra- and inter-pixel dependencies are two widely used approaches to represent different land-cover spatial dependencies at present. However, merely using intra- or inter-pixel dependence alone often fails to fully describe land-cover spatial dependence, making current sub-pixel mapping models defective.
How can city planners improve health and reduce mortality in Alameda County, California? A cross-sectional analysis
BACKGROUND: Dramatic disparities in a range of health outcomes persist in Alameda County, California. Age-standardised mortality rates range from 300 to 1300 deaths per 100 000 across census tracts in this county, with life expectancies lagging by 10 years in the most disadvantaged census tracts. Finding factors at the community level that affect neighbourhood health levels is a key step towards addressing these inequalities. Walking to work may be one of these factors, and is something that local policy makers could effectively act upon through city planning and maintenance initiatives.
relevance of wetland conservation in arid regions: A re-examination of vanishing communities in the American Southwest
Desert wetlands, or ciénegas, are regions of high conservation value in the American Deserts. These environments, in the Apache Highlands Ecoregion spanning the borderlands of Arizona, USA and Sonora, México, contain an estimated 19% of endangered, threatened and candidate species within 2% of the regional area. Besides being crucial refugia for native fish, amphibians, snails, and plants, ciénegas constitute critical habitat for migratory birds. Here we analyze the distribution, conservation status and restoration potential of ciénegas in this region.