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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2311 - 2315 of 9579Analyst variation associated with land cover image classification of Landsat ETM + data for the assessment of coarse spatial resolution regional/global land cover products
This study examined analyst variation associated with land cover (LC) image classification using 30 × 30 m Landsat ETM+ data for the assessment of coarse spatial resolution regional/global LC products. The study was designed to test the effect of varying training site selections (location and number) among six analysts performing a supervised classification on a Landsat ETM + image. Design constraints maintained other aspects of the classification process constant (i.e., type of classifier, choice of band combinations, etc.).
Perceptions of stewardship in Norwegian agricultural landscapes
The importance of the landscape as a tourism asset is well known, and the significance of perceptions of landscape is increasingly being recognized in policy and planning, in Europe thanks largely to the implementation of the European Landscape Convention. The abandonment of agricultural land is one of the ongoing processes of landscape change that are having a profound impact not only in Norway – the subject of this article – but across Europe.
Wavelet Based Post Classification Change Detection Technique for Urban Growth Monitoring
Urban areas are the most dynamic region on earth. Their size has been constantly increased during the past and this process will go on in the future. Since there is no standard policy and guidelines for construction of buildings and urban planning, cities tend to have irregular growth. Many cities in the world face the problem of urban sprawl in its suburbs. So issues of urban sprawl need to be settled with the help of technologies such as satellite remote sensing and automated change detection.
arithmetic method to determine the most suitable planting dates for vegetables
Optimum crop yield is greatly affected by proper planting and sowing times. The objective of this research was to develop an algorithm that uses the heat unit concept to determine the most suitable planting times for vegetable crops. The developed algorithm was programmed in a database environment with sample climatic data for the Kingdom of Saudi Arabia. The model was tested by validation (comparison to experts’ estimations), verification (statistical comparison to formal published data), and evaluation (by professionals, landowners, and farmers).
PolyFrag: a vector-based program for computing landscape metrics
Landscape fragmentation is important in investigating changing biodiversity patterns. Several current software programs calculate landscape fragmentation metrics. The most prevalent of these programs are only compatible with raster-format land cover maps. However, with advancing classification techniques, vector-format maps are becoming more popular. The new program PolyFrag computes fragmentation metrics for vector-based maps, is flexible and comprehensive, and outputs metrics similar to those of the widely used raster-based programs, like FRAGSTATS.