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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 4881 - 4885 of 9579Response of dissolved trace metals to land use/land cover and their source apportionment using a receptor model in a subtropic river, China
Water samples were collected for determination of dissolved trace metals in 56 sampling sites throughout the upper Han River, China. Multivariate statistical analyses including correlation analysis, stepwise multiple linear regression models, and principal component and factor analysis (PCA/FA) were employed to examine the land use influences on trace metals, and a receptor model of factor analysis-multiple linear regression (FA-MLR) was used for source identification/apportionment of anthropogenic heavy metals in the surface water of the River.
GIS applications in viticulture. The spatial distribution of climatic suitability for grape growing in Husi wine-growing Centre (Romania)
This paper is part of a GIS-based approach aiming to develop the map of ecological suitability for grape growing in Huşi wine-growing centre, Huşi vineyard (Romania). The database underlying this study includes ten climatic factors and indicators that are considered to be defining for the climatic suitability of a geographic area.
Is Irrigation Rehabilitation Good for Poor Farmers? An Impact Evaluation of a Non-Experimental Irrigation Project in Peru
This paper analyses the effect of a set of irrigation rehabilitation projects conducted over the last 10 years in Peru. The projects were conducted without the aim or the tools for a full-fledged impact evaluation. Nevertheless, this paper attempts an evaluation through the use of alternative data sources such as household surveys and geographic information, a strategy of identification of beneficiaries and control households based on spatial proximity to the projects' sites, and an econometric approach consisting of a double-differencing technique.
Quantifying surface gradients with a 2-band Enhanced Vegetation Index (EVI2)
Quantification of spatial and temporal heterogeneity has been given much attention in order to link ecological patterns to processes. The patch mosaic model, as an operational paradigm, has led to major advances in the field of quantitative landscape ecology. However, it is more realistic to conceptualize landscapes based on continuous rather than discrete spatial heterogeneity. While a conceptual shift has been proposed to supplement the patch mosaic model, few studies use the surface gradient model as a context.
Spatial Rule-Based Assessment of Habitat Potential to Predict Impact of Land Use Changes on Biodiversity at Municipal Scale
In human dominated landscapes, ecosystems are under increasing pressures caused by urbanization and infrastructure development. In Alpine valleys remnant natural areas are increasingly affected by habitat fragmentation and loss. In these contexts, there is a growing risk of local extinction for wildlife populations; hence assessing the consequences on biodiversity of proposed land use changes is extremely important. The article presents a methodology to assess the impacts of land use changes on target species at a local scale.