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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 6561 - 6565 of 9579A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares
The following paper outlines a new econometric model designed to capture both the temporal and spatial dynamics of housing prices. The paper combines existing spatial econometric techniques with a model that allows parameters to evolve over time. In addition, we provide an empirical application to the price effects of confined animal feeding operations to a data set of residential real estate in Tippecanoe County, Indiana from 1993 through 2006.
Long-term impact of chronosequential land use change on soil carbon stocks on a Swedish farm
Agricultural practices and land use significantly influence soil carbon storage. The processes that are affected by land use and management are generally understood, but uncertainties in projections are high. In this paper, we investigate the long-term effects of chronosequential land use change from grassland to cropland and vice versa on soil carbon stock dynamics in four fields on a Swedish farm. Between 1850 and 1920, three of the fields were converted from grassland into cropland, and one was converted back to grassland in 1971.
The MODERE Model and The Economic Analysis of Farmers’ Decisions
The MODERE, the Ministry of the Environment Irrigation Decision Model, is a simulation tool whichuses mathematical programming methods to reveal the implicit multiattribute objective function lyingbehind the observed cropping decision. The model takes different criteria such as profit maximization,risk aversion, avoidance of management complexities and so forth into account.
Meeting Biofuels Targets: Implications for Land Use, Greenhouse Gas Emissions and Nitrogen Use in Illinois
This article develops a dynamic micro-economic land use model to identify the cost-effectiveallocation of cropland for traditional row crops and perennial grasses and the mix ofcellulosic feedstocks needed to meet pre-determined biofuel targets over the 2007-2022 period.Yields of perennial grasses are obtained from a biophysical model and together with county leveldata on costs of production for Illinois are used to examine the implications of these targets forcrop and biofuel costs, greenhouse gas emissions, and nitrogen use.
DYNAMICS OF CHANGES IN AGRICULTURAL LAND USE ARISING FROM CLIMATE, POLICY AND SOCIO-ECONOMIC PRESSURES IN EUROPE
This article analyses the mechanism behind the changes in agricultural land use arising from climate variables, agricultural policies and socio-economic pressures. The study presented here has undertaken an integrated methodology in the estimation of future land use change in Europe. The scenarios constructed in this study include estimates not only of changes in the climate baseline, but also of possible future changes in socio-economics.