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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 4841 - 4845 of 9579Valuing Avoided Soil Erosion by Considering Private and Public Net Benefits
The population in New Zealand is expected to increase to over five million by themid 2020’s from the current level of 4.3 million (Statistics New Zealand, 2009). Anincreasing demand for primary produce as a result may put pressure on marginal land tobe farmed. Understanding the economic value of avoided erosion in New Zealand istherefore an important factor in policy making to optimise the soil related activities in theeconomy. Establishing a methodology for estimating the economic value of avoided soilerosion is the first step in assessing the problem.
Efficacy of Management Practices to Mitigate the Off-Site Movement and Ecological Risk of Pesticides Transported with Runoff from Agricultural and Turf Systems
Highly managed biotic systems, such as agricultural crops and managed turf, often require multiple applications of pesticides that may be transported with runoff to areas beyond the intended target site. Pesticides have been detected in surface waters of rural and urban watersheds raising questions concerning their source, potential environmental effects and a need for strategies to reduce their inputs.
Validating modelled NPP using statistical yield data
The German Remote Sensing Data Center operates the Biosphere Energy Transfer Hydrology Model, a process model that estimates the net primary productivity of agricultural areas. The model is driven by remote sensing data and meteorological data. Remotely sensed datasets including a time series of the leaf area index, which describes vegetation condition, and a land cover classification, which provides information about land use, are needed. Currently leaf area indices and land cover data derived from the sensor vegetation are used.
SUSTAINABLE INITIATIVES IN MARGINAL RURAL AREAS OF SERBIA: A CASE STUDY OF DIMITROVGRAD MUNICIPALITY
This paper is based on a 2009 case study research on the role and impacts of rural initiatives in Dimitrovgrad, South-eastern Serbiaregion. This area is of interest, because of local efforts to conserve autochthonous livestock breeds, and the work of smallholders and independentprofessionals involved farming and rural tourism activities. The research used participant visits to initiative places, drawing on farm visits,meetings with stakeholders and analysis of secondary information. The study highlights that local organizations are running without link toinitiatives.
Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review
Surface runoff and associated erosion processes adversely affect soil and surface water quality. There is increasing evidence that a sound understanding of spatial-temporal dynamics of land use and management are crucial to understanding surface runoff processes and underpinning mitigation strategies. In this review, we synthesise the effects of (1) temporal patterns of land management of individual fields, and (2) spatio-temporal interaction of several fields within catchments by applying semivariance analysis, which allows the extent and range of the different patterns to be compared.