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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2581 - 2585 of 9579Improved fallows: a case study of an adaptive response in Amazonian swidden farming systems
Many smallholders in the Amazon employ swidden (slash-and-burn) farming systems in which forest or forest fallows are the primary source of natural soil enrichment. With decreasing opportunities to claim natural forests for agriculture and shrinking landholdings, rotational agriculture on smaller holdings allows insufficient time for fallow to regenerate naturally into secondary forest.
good shepherd: remedying the fencing syndrome
In this paper the use of fenced grazing camps to manage the rangeland commons is challenged. A historical perspective is presented on fencing and rotational grazing in South Africa. Two case studies in KwaZulu-Natal and the Northern Cape illustrate the factors that influence the management of rangelands under communal land tenure without the use of fences. It is argued that herding is preferred over fencing.
Reforming communal rangeland policy in southern Africa: challenges, dilemmas and opportunities
In the savanna rangelands of southern Africa, the debate about land reform tends to be about the redistribution of formerly freehold ranches and fencing-off the rangeland commons into ranches for better-off African farmers. The position of those who favour privatisation has been strengthened by the belief that the only environmentally sound way to manage the range is to subdivide it into private ranches because traditional open-range pastoralism is environmentally destructive. This point of view is at variance with an ever-increasing body of research.
Kernel-based extreme learning machine for remote-sensing image classification
This letter evaluates the effectiveness of a new kernel-based extreme learning machine (ELM) algorithm for a land cover classification using both multi- and hyperspectral remote-sensing data. The results are compared with the most widely used algorithms – support vector machines (SVMs). The results are compared in terms of the ease of use (in terms of the number of user-defined parameters), classification accuracy and computation cost.
Spatial Decision Support System design for land reallocation: A case study in Turkey
Reallocation of regular size parcels is accepted as the core of land consolidation. For fast and efficient progress in projects, usage of computer technology has been essential. In this case study, a Spatial Decision Support System (SDSS)-based land reallocation model was developed to provide reallocating newly created regular size parcels to landowners in land consolidation projects. Reallocation results of the SDSS-based land reallocation model and conventional land reallocation models are compared.