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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2716 - 2720 of 9579Optical and radar data integration for land use and land cover mapping in the Brazilian Amazon
This study aims to evaluate different methods of integrating optical and multipolarized radar data for land use and land cover (LULC) mapping in an agricultural frontier region in the Central Brazilian Amazon, which requires continuous monitoring due to the increasing human intervention. The evaluation is performed using different sets of fused and combined data.
Responses to climate change and farming policies by rural communities in northern China: A report on field observation and farmers’ perception in dryland north Shaanxi and Ningxia
To address land degradation and rural poverty the Chinese government has put in place a series of land conversion programmes in the Loess Plateau area in northern China. In addition to problems arising from unsustainable land use, water resource availability driven in part by climatic forcing is also a threat to livelihoods in this region. To understand climate impacts on farming practice in poor areas of China, field observation and village reconnaissance took place in the summer of 2009 in three selected counties of Shaanxi and Ningxia Province, northern China.
Evaluating the use of publicly available remotely sensed land cover data for areal interpolation
Areal interpolation is used to transfer attribute data between geographically incongruous zonal systems. Remotely sensed land cover data are widely used in intelligent areal interpolation methods to solve this problem. This article examines the usefulness of different publicly available remotely sensed land cover data sets as ancillary data used in conjunction with different areal interpolation methods.
Mail and Web-Based Survey Administration: A Case Study With Recreational Users of Virginia's Wildlife Management Areas
Web-based surveys cost less, obtain responses more quickly, and provide more efficient data management compared to mail surveys; however, the potential inability to reach a random, representative sample of the public raises concerns about the validity and reliability of Web-based surveys. We surveyed recreational users of Virginia wildlife management areas with either a Web-based or mail instrument, based on user preference for contact. Response rates for both modes were comparable, but Web-based surveys were more complete and returned more rapidly than were mail surveys.
new Likelihood Ratio for supervised classification of fully polarimetric SAR data: An application for sea ice type mapping
One of the potential applications of polarimetric Synthetic Aperture Radar (SAR) data is the classification of land cover, such as forest canopies, vegetation, sea ice types, and urban areas. In contrast to single or dual polarized SAR systems, full polarimetric SAR systems provide more information about the physical and geometrical properties of the imaged area. This paper proposes a new Bayes risk function which can be minimized to obtain a Likelihood Ratio (LR) for the supervised classification of polarimetric SAR data.