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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 4301 - 4305 of 9579Identification of hazelnut fields using spectral and Gabor textural features
Land cover identification and monitoring agricultural resources using remote sensing imagery are of great significance for agricultural management and subsidies. Particularly, permanent crops are important in terms of economy (mainly rural development) and environmental protection.
Pre-processing of a sample of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics
In support to the Remote Sensing Survey of the global Forest Resource Assessment 2010, the TREES-3 project has processed more than 12,000 Landsat TM and ETM+ data subsets systematically distributed over the tropics. The project aims at deriving area estimates of tropical forest cover change for the periods 1990–2000–2005.
The implications of policy settings on land use and agricultural technology adoption in North-West India
The irrigated rice-wheat cropping system is the predominant and most profitable farmingsystem in north-west India, especially in Punjab. However, there are growing concerns aboutthe environmental effects of the system, particularly with the practice of burning rice stubbles,due to its adverse effects on human health and air pollution. In this paper we consider thewide array of policy settings that tend to favour current land uses and management practicesand their impact on the farming system over time.
Modelling Rural Land Use in New Zealand - A Discrete Choice Perspective
The economic model I use to describe landowners’ land use decisions is a standarddiscrete choice random utility maximization model.1 Land is of heterogeneous quality, andsuitability for the various uses depends on (multiple dimensions of) quality. Therefore, at anygiven time, potential benefits derived from each parcel vary by use. As economic conditionschange, production technologies advance and the farmer accumulates human capital, the relativedesirability of land use alternatives may change on any parcel.
Emulating nurse plants to restore oak forests
Several forested areas of Mexico are dominated by oaks (Quercus spp.), but these forests have suffered strong changes in land use throughout the last century and need to be restored. Most of these areas, however, are within seasonally dry ecosystems and heavy losses of oak seedlings occur in the dry season. Nurse plants that ameliorate extreme environmental conditions have been proved to enhance the success of reforestation practices in these ecosystems.