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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 4516 - 4520 of 9579Livelihood strategies and land use changes in response to conservation: Pitfalls of community-based forest management in Madagascar
Faced with the low success rates of protected areas in conserving natural forests and supporting rural development, the Malagasy government recently chose to transfer forest resource management to local communities. Feedback about the implementation of this new policy suggests that agriculture continues to drive deforestation. This article explores farmers' household livelihood strategies and land use changes in response to changing forest access rules arising from community-based land management.
Farm and Forest in Central Africa: Toward an Integrated Rural Development Strategy
The authors explore three problems confronting scientists working in the central African humid forest zone and show their interconnectedness in the context of the sociopolitical history of the area. These problems emerge from different domains at different spatial scales: agricultural development, natural resource management, and landscape scale conservation. Land and livelihoods are severely constrained in central Africa. Agriculture is rarely remunerative: prices are low, technology limited, land rights contested, and labor scarce.
Kudzu Control and Impact on Monetary Returns to Non-Industrial Private Forest Landowners in Mississippi
Kudzu—Pueraria montana var. lobata (Willd.)—was initially planted in the southern United States and subsequently spread throughout the countryside following changes in land use. Kudzu covers more than 2.8 million ha which prevents uses such as timber production and establishment of carbon plantations. Using data collected on sites in Mississippi, this study examines the after-tax monetary trade-offs of controlling kudzu using different herbicide regimes. The results suggest that the most cost-effective way to control kudzu patches is to apply Escort XP using an aerial applicator.
Applying support vector regression to water quality modelling by remote sensing data
This article applies a nonlinear machine learning method, support vector regression (SVR), to construct empirical models retrieving water quality variables using remote sensing images. Based on in situ measurements and high-resolution multispectral SPOT-5 (Satellite Pour l'Observation de la Terre) data, a fittest nonlinear function between input and output was obtained from this method, and SVR model parameters were selected automatically using a genetic algorithm (GA).
Using spatio-temporal modeling to predict long-term exposure to black smoke at fine spatial and temporal scale
Whilst exposure to air pollution is linked to a wide range of adverse health outcomes, assessing levels of this exposure has remained a challenge. This study reports a modeling approach for the estimation of weekly levels of ambient black smoke (BS) at residential postcodes across Northeast England (2055km²) over a 12 year period (1985–1996). A two-stage modeling strategy was developed using monitoring data on BS together with a range of covariates including data on traffic, population density, industrial activity, land cover (remote sensing), and meteorology.