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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 5086 - 5090 of 9579Socio-economic and land cover changes analysis in a landscape with agricultural matrix
The research involved the application of CORINE Land Cover categories in order to analyse changes in land cover and in the socio-economic system over the last 50 years in Molise (Southern Italy). The boundaries of the study area corresponded to those of six local councils: Guglionesi, Montecilfone, Montenero di Bisaccia, Petacciato, San Giacomo degli Schiavoni and Termoli.
The Long Trace of Inequality: Evidence from Cundinamarca, Colombia
This paper uses historic data from Cundinamarca, Colombia to empirically assess the impact of land inequality persistence, inherited from the colonial rule, on economic development in the long run. Based on the Engerman & Sokoloff hypothesis and the use of GIS, I use plausible exogenous variation in land endowments to design an instrumental variable strategy. In contrast to recent studies, I find that more unequal municipalities in the XIX and XX century are associated with better growth, human capital and public goods provision measures today.
Modelling soil organic carbon changes on arable land under climate change - a case study analysis of the Kocin farm in Slovakia
We have estimated soil organic carbon and crop yield changes under distinct climate change scenarios for the Kocin farm in Slovakia. Two regional climate change scenarios, i.e. the A2 and B2 SRES emission scenarios, and a reference climate scenario have been included into the bio-physical process model EPIC to simulate the effects on the topsoil organic carbon stocks and crop yields for the period of 2010-2050. In addition, we have used the data from several fields of the Kocin farm including the soil data, crop rotational and management data as well as topographical data.
Processing of proposals for land consolidation in the foothills conditions
The experience and knowledge collected during the implementation of land consolidation in the district of Usti nad Orlici (Czech Republic) provides the first opportunity to describe and evaluate the impact of specific conditions associated with the design and implementation of land consolidation in the different morphological, soil and climatic areas.