Skip to main content

page search

Community Organizations AGRIS
AGRIS
AGRIS
Data aggregator
Website

Location

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.

 

Members:

Resources

Displaying 1306 - 1310 of 9579

Multi-criteria assessment and geostatistical approach for determination of rice growing suitability sites in Gokirmak catchment

Journal Articles & Books
December, 2015
Turkey

Land suitability analysis is a prerequisite to achieving optimum utilization of the available land resources. Lack of knowledge on best combination of factors that suit production of rice has contributed to the low production. The aim of this study were to determine the most suitable areas for rice crop (Oryza sativa) based on some physic-chemical properties of various alluvial soils in the Gokirmak catchment located on the Sinop-Boyabat district in the Central Black Sea Region of Turkey.

Landscape Prediction and Mapping of Game Fish Biomass, an Ecosystem Service of Michigan Rivers

Journal Articles & Books
December, 2015

The increased integration of ecosystem service concepts into natural resource management places renewed emphasis on prediction and mapping of fish biomass as a major provisioning service of rivers. The goals of this study were to predict and map patterns of fish biomass as a proxy for the availability of catchable fish for anglers in rivers and to identify the strongest landscape constraints on fish productivity.

Effects of land cover conversion on soil properties and soil microbial activity in an alpine meadow on the Tibetan Plateau

Journal Articles & Books
December, 2015
China

Land cover conversion intensively occurred in the Tibetan Plateau of China during the past decades. However, responses of soil properties and soil microbial activities to land cover conversion under different land cover types have not been fully understood. The objective was to assess the effects of land cover conversion on soil C and N stocks and soil microbial properties of topsoil of an alpine meadow in the Tibetan Plateau. Soil cores of surface soil (0–20 cm) were collected from three adjacent land cover types: native alpine meadow, artificial grassland and mound-shaped denuded land.

Understanding the Characteristics of Non-industrial Private Forest Landowners Who Harvest Trees

Journal Articles & Books
December, 2015

Achieving regional and national goals of renewable energy production will depend on sufficient supply of biomass from private forests, the majority of which are controlled by non-industrial private forest landowners (NIPF). Considering the diversity in management objectives and changing demographic dynamics in this ownership group, it is important to understand the characteristics of landowners that may supply woody biomass. This study developed linear discriminant analysis (LDA) and classification tree (CT) models to examine the characteristics and motivation of such NIPF landowners.

Land degradation dynamic in the first decade of twenty-first century in the Beijing–Tianjin dust and sandstorm source region

Journal Articles & Books
December, 2015

Land degradation dynamic assessment is very important to understand the effectiveness of ecological engineering and provide decision support for future restorations. Taking the Beijing–Tianjin dust and sandstorm source region (BTSSR) as the study area, the land degradation dynamic in the first decade of twenty-first century is assessed by utilizing the time series trends of net primary production (NPP) and modified rain use efficiency (RUE), respectively, and their sensitivities and performances are evaluated through the validation.