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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 841 - 845 of 9579Effect of Planting Method on the Growth of Alnus glutinosa and Quercus petraea in Compacted Opencast Coal‐Mine Spoils, South Wales
Land degradation on officially ‘reclaimed’ opencast coal‐mine sites is a widespread problem in South Wales. This project explores methods suitable for use by community volunteers seeking to effect local environmental improvement by restoring geoecological self‐sustainability on lands that are commonly affected by extreme auto‐compaction and low soil nutrient status. This paper describes a formally established 7‐year experiment designed to assess the effect of three alternative tree planting strategies used in the forestation of such lands. These are notch planting (e.g.
Weed Control, Crop Response, and Profitability When Intercropping Cantaloupe and Cotton
Intercropping cantaloupe and cotton can improve grower profits over traditional monoculture practices because crops share resources and production costs. However, developing effective programs to control weeds with herbicides that are safe to both crops can be challenging. Research was conducted to (1) identify herbicide systems to manage Palmer amaranth in cantaloupe–cotton intercropping production while minimizing crop injury, and (2) determine the profitability of cantaloupe–cotton intercropping.
Land cover and crop type classification along the season based on biophysical variables retrieved from multi-sensor high-resolution time series
With the ever-increasing number of satellites and the availability of data free of charge, the integration of multi-sensor images in coherent time series offers new opportunities for land cover and crop type classification. This article investigates the potential of structural biophysical variables as common parameters to consistently combine multi-sensor time series and to exploit them for land/crop cover classification. Artificial neural networks were trained based on a radiative transfer model in order to retrieve high resolution LAI, FAPAR and FCOVER from Landsat-8 and SPOT-4.
Stability of environmental reference conditions as indicated by stream macroinvertebrate communities: a case study in the central United States
We examined macroinvertebrate community data from Missouri reference streams collected approximately 12 years apart to evaluate whether substantial changes in community metrics and/or taxonomic composition occurred over that period. We used analysis of variance to test whether metrics differed between years or between other variables and used non-metric multidimensional scaling to examine compositional differences among samples and the environmental variables that were most associated with these differences.
Research and Design of A Land Reclamation Supervisory Information System in A Mining Area
Using an overall document data comprehensive analysis system and a structure analysis, this study preliminarily classified technical indicators, structured the regulatory index database on construction of land reclamation, and explicated the information operation process and main content of land reclamation. From the perspective of module design, this article describes the most significant details about information query and release process, engineering construction quality monitoring and control, the land reclamation engineering acceptance process, and postâproject evaluation.