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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 3496 - 3500 of 9579Formation of the brand of territory as an image resource of rural area development
In the conditions of the Republic of Belarus there was shown the necessity of detection and recording of socially-significant sights and brand objects in the process of managing land resources. There was examined the classification of land plots and objects of real estate, which appear to be territory brands. There were determined the main approaches to the formation of the system of such objects on the basic level of state management.
General retrospective analysis and prospects of the use of agricultural lands in the Republic of Belarus
In the conditions of the Republic of Belarus there was conducted a general retrospective analysis and determined the prospects of the use of agricultural lands in the republic and its administrative regions. In course of the study there was presented a composition and structure of land of agricultural use in accordance with land types. There were analysed statistical data of area of agricultural lands in Belarus, as well as dynamics of the analysed lands in all regions of the Republic.
Spatial variability of soil CO₂ efflux linked to soil parameters and ecosystem characteristics in a temperate beech forest
The aim of this study was to determine the amplitude and the driving factors of the spatial variability in soil CO₂ efflux in a young European beech forest. Soil CO₂ efflux was measured in 2003 and 2004 in seven beech plots differing in terms of soil type and leaf area index. After eliminating temporal fluctuations due to soil temperature and soil water content, standardized soil CO₂ efflux varied significantly among plots over a large range given the homogeneity of the land cover type.
investigation into the effects of an emissions trading scheme on forest management and land use in New Zealand
An econometric-process simulation model was constructed to investigate the effects of an Emissions Trading Scheme (ETS) on forest management and land use in New Zealand. Profit maximising agents which choose between forestry and agricultural land uses were simulated under carbon price scenarios of $20, $50 and $0 per tonne CO₂ equivalent. The model suggests that an ETS will lead to increased afforestation and rotation age, and decreased silviculture and deforestation.
Land cover classification using CHRIS/PROBA images and multi-temporal texture
Most existing multi-temporal classification studies use spectral information alone and ignore the temporal correlation between two-date images. This article proposes a new method to characterize the local temporal correlation using multi-temporal texture measured with a geostatistical function called the pseudo cross variogram (PCV). The derived multi-temporal texture, as an additional band, was combined with the spectral information in multi-temporal classification.