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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2386 - 2390 of 9579On a research landscape change and fragmentation case study,Bartin City and Arit Basin
In this study,land cover data were digitized on topographical maps(1954,1984 and 2001).Land cover data were analyzed using ArcGIS and Fragstats programs.
Bu çalışmada, araştırma alanına ait 1954,1984 ve 2001 yılı topoğrafik haritaları üzerindeki arazi örtüsü verileri sayısallaştırılmıştır.
Natural and human-induced environmental changes in Eastern Europe during the Holocene: a multi-proxy palaeolimnological study of a small Latvian lake in a humid temperate zone
This study uses the Holocene lake sediment of Lake Ķūži (Latvia, Vidzeme Heights) for environmental reconstruction with multi-proxy records including lithology, computerised axial tomography scan, grain-size analysis, geochemistry, diatoms and macrofossils, supported by AMS radiocarbon dating. Numerical analyses (PCA; CONISS) reveal three main phases in the development of the lake. Response to the Lateglacial–Holocene transition in Lake Ķūži took place around 11,300 cal. BP.
Validating the BERMS in situ Soil Water Content Data Record with a Large Scale Temporary Network
Calibration and validation of soil moisture satellite products requires data records of large spatial and temporal extent and for diverse land cover types. Obtaining this data, especially for forests, can be challenging. These challenges can include the remoteness of the locations, and expense of equipment. A location with a long record of soil water content data and the potential provide this important data is the Boreal Ecosystem Research and Monitoring Sites (BERMS) in Saskatchewan Canada. In and around the BERMS study area, there are five long-term soil water content profile stations.
Climate change opportunities for Idaho's irrigation supply and deliveries
The Snowmelt Runoff Model (SRM) was used to simulate timing and magnitude of runoff for six climate scenarios (2030 and 2080 ‘Wet’, ‘Middle’, and ‘Dry’). The water supply results from SRM were run through a Southern Idaho reservoir operation and water rights allocation model (MODSIM). The 2030-Dry and 2080-Dry scenarios produce supply deficits relative to the current climate of 5.4%, and 1.9%, respectively, for which the corresponding irrigation water delivery reductions were 1.7% and 2.7%.
Estimation and comparision of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope
The CN represents runoff potential is estimated using three different methods for three watersheds namely Barureva, Sher and Umar watershed located in Narmada basin. Among three watersheds, Sher watershed has gauging site for the runoff measurements. The CN computed from the observed rainfall-runoff events is termed as CN₍PQ₎, land use and land cover (LULC) is termed as CN₍LU₎ and the CN based on land slope is termed as SACN₂. The estimated annual CN₍PQ₎ varies from 69 to 87 over the 26years data period with median 74 and average 75.