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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 2586 - 2590 of 9579Spatial 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.
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.
Municipal commonage in South Africa: a critique of artificial dichotomies in policy debates on agriculture
The paper critiques Vetter's (in this issue) assertion that commercialisation of smallholder agriculture holds dangers for sustainable rangeland management. The paper argues that a range of policy options are required, including commercialisation and subsistence farming, large-scale and smallholder farming, a range of land tenure options, rural and peri-urban farming, and part-time farming. The case of municipal commonage land is useful to show the effectiveness of a flexible range of policy options regarding land ownership, farming scale and the social nature of farming.
Comparative assessment of different methods for using land-cover variables for distribution modelling of Salamandra salamandra longirotris
Predictive models are frequently used to define the most suitable areas for species protection or reintroduction. Land-cover variables can be used in different ways for distribution modelling. The surface area of a set of land-cover classes is often used, each land-cover presence/absence or the distance to them from any point of the study area can be preferred; multiple types of land-cover variables may be combined to produce a single model.
Reconstruction of the livelihood of resettlers from the Nam Theun 2 hydropower project in Laos
The Nam Theun 2 (NT2) hydropower project displaced 6738 people from 17 villages and 1298 households. This research focuses on four resettlement villages. Household interviews were conducted to learn more about variations in living conditions, traditions and culture in the villages that were relocated independently compared to villages in which relocation had merged older villages together. The case study suggests that most resettlers wanted to remain exclusively with their own village members.