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Community Organizations AGRIS
AGRIS
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 1161 - 1165 of 9579

Sample-based estimation of “contagion metric” using line intersect sampling method (LIS)

Journal Articles & Books
Diciembre, 2015
Suecia

Quantification of landscape pattern is of primary interest in landscape ecological studies. For quantification purposes, a large number of landscape metrics have been developed, with definitions based on measurable patch attributes. Calculation of these metrics is commonly conducted on wall-to-wall maps, whereas a new interest is to use sample data. It is argued that a sample survey takes less time and results are more reliable. The overall objective in this paper was to present the potential of the line interest sampling method for estimating a special contagion metric.

Challenges in applying scientific evidence to width recommendations for riparian management in agricultural Australia

Journal Articles & Books
Diciembre, 2015
Australia

Intact riparian zones maintain aquatic–terrestrial ecosystem function and ultimately, waterway health. Effective riparian management is a major step towards improving the condition of waterways and usually involves the creation of a ‘buffer’ by fencing off the stream and planting vegetation. Determination of buffer widths often reflects logistical constraints (e.g. private land ownership, existing infrastructure) of riparian and adjacent areas, rather than relying on rigorous science.

About the problem of studying the effects of degradation and hazardous natural processes in agricultural lands of Russia

Journal Articles & Books
Diciembre, 2015
Rusia

The analysis of evaluable information on degradation and dangerous natural processes at the agricultural lands on Asian territory of the Russian Federation (according to the data of 1991-2015) was done. The natural processes negatively affecting the soil (available land) are divided into groups according to their hazard extent: a) processes oriented to destroy the soils and lands, b) processes changing the soil cover pattern and leading to degradation of soils and decreasing their fertility

Global Soil Moisture From the Aquarius/SAC-D Satellite: Description and Initial Assessment

Journal Articles & Books
Diciembre, 2015
Global

Aquarius satellite observations over land offer a new resource for measuring soil moisture from space. Although Aquarius was designed for ocean salinity mapping, our objective in this investigation is to exploit the large amount of land observations that Aquarius acquires and extend the mission scope to include the retrieval of surface soil moisture. The soil moisture retrieval algorithm development focused on using only the radiometer data because of the extensive heritage of passive microwave retrieval of soil moisture.

Where is the backward Russian peasant? Evidence against the superiority of private farming, 1883–1913

Journal Articles & Books
Diciembre, 2015
Rusia

This contribution deals with agricultural dynamics in late-Imperial Russia. Based upon a comprehensive micro-level data set on annual yields between 1883 and 1913, we provide insight into regional differences of agricultural growth and the development prospects of Russian agriculture before WWI. Making use of the fact that contemporary Russian statistics distinguished between mostly communally governed open fields and privately owned land, we are able to test the implications of different land tenure systems for agricultural yield growth.