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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 8091 - 8095 of 9580Shrub pastures ("genista type" and "rosemary type") in the Iberian Mountain Range of Aragón (Spain). Characterization, cartography and evaluation
This work is settled in the context of the Project "Characterization, Cartography and Evaluation of Spanish pastures" (INIA-CCAA OTOO-037-C17). Results of the characterization, cartography and evaluation by means of the phytocenologic and cartographic units established by authors, the II National Forestry Inventory (DGCN, 1996) and the Forestry Map of Spain (DGCN, 2001) are presented. Considering the dominant species provided by the last mentioned work and the phytosociological characterizations, type-inventories are established, which allow an estimation of the pasture production.
Factors influencing the intensification of farming systems and soil-nutrient management in the rural-urban continuum of SW Ghana
Threats to the sagebrush ecosystem--research and management needs
Genetic equilibrium in Cheilosia vernalis populations (Diptera: Syrphidae)
Genetic equilibrium of polymorphic enzyme loci from four natural populations of Cheilosia vernalis was tested. The study populations were from different regions of the Balkan Peninsula: Mediterranean area (Morinj, Montenegro: CVMOR), low mountain in the Pannonian plain (Fruska Gora, Serbia: CVFG), and two high Dinaric mountains (Durmitor, Montenegro: CVDUR; and Kopaonik, Serbia: CVKOP). Out of twelve enzyme loci analyzed for genetic variability, only four to six were polymorphic in the studied populations.
Using Regression Discontinuity Design to Identify the Effect of Zoning
We test the effect of minimum lot zoning on rural-to-urban land use conversion using Regression Discontinuity Design (RDD), a technique that exploits natural discontinuities in the data to identify causal effects. Observations are drawn from either size of a discontinuous minimum lot size zoning boundary. Using these selected sub-samples, a binary discrete choice model of residential land use change is estimated using parcel-level data and other spatially explicit data from an exurban county that lies on the fringes of Cleveland, Ohio.