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AGRIS
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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 AGROVOCFAO’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 CGIARGFAR 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.

 

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Resources

Displaying 3076 - 3080 of 9579

Assessing sediment regime alteration of the upper Yangtze River

Journal Articles & Books
December, 2013

Employing the histogram matching approach, the sediment regime alteration of the upper Yangtze River was assessed and its possible causes and environmental influences were discussed. Daily sediment load and flow data from 1950 to 2008 were collected from Yichang hydrometric station. The annual sediment load series was segmented by heuristic segmentation algorithm in 1986 and 2003, and the multi-year mean values of the three phases were 5.28� ×� 10⁸, 3.89� ×� 10⁸ and 0.57� ×� 10⁸� t, respectively.

Non-timber forest products certification in India: opportunities and challenges

Journal Articles & Books
December, 2013
India

Forest certification has emerged as a marketing tool for linking the good forest management practices with the environmentally conscious consumers. Its genesis can be attributed to the society’s concern for the social and environmental significance of forests. Forest management certification when coupled with the chain-of-custody certification; then, the supply chain stages for such forest products can carry an ecolabel. Non-timber forest products (NTFPs) are of socio-economic and cultural importance for the forest dwelling communities, particularly for the tropical countries like India.

Investigating urban growth scenarios in Wadi El Natrun area, Egypt, using the UPlan land use allocation model

Journal Articles & Books
December, 2013
Egypt

This study aims at establishing an approach for the analysis of urban growth dynamics to support urban planning decisions in Egypt. This approach is based on the UPlan model. It acknowledges the lack of historical land use detailed data in most of the Egyptian cities and is heavily based on socioeconomic and land use patterns collected from field surveys and census data. The model is tested on Wadi El Natrun city, an urban agglomeration located on the agricultural fringes of the Nile River. Several scenarios are generated based on changes in a set of attractors, discouragements, and masks.

Price determination and efficiency in the market for water rights in New Mexico's Middle Rio Grande Basin

Journal Articles & Books
December, 2013
United States of America

Water rights markets in the western United States have expanded over the last 40 years, as a result of population growth in the West and Southwest, and limited development of new storage. Until 2008, house prices, home construction and population growth appeared to be locked in an ever-increasing upward trend. With little historical experience to the contrary, water right market prices similarly appeared to be driven by real estate development.

Property rights and macroeconomic performance in Central and Eastern European EU member states

Conference Papers & Reports
December, 2013
Estonia
Slovakia
Lithuania
Hungary
Poland
Latvia
Slovenia
Czech Republic
Eastern Europe
Europe

Using the database of eight Central and Eastern European transition economies compiled from the World Bank collection of World Development Indicators, the authors examine the relationship between high contract-intensive money as an indicator of contractual and property rights (or a general measure of the quality of governance and institutions) and performance of several macroeconomic indicators (GDP growth, FDI to GDP ratio, employment rate etc.) over the period from 1990 to 2011. The Pearson's correlation coefficients were used to determine the strength of the relationships.