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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 4531 - 4535 of 9579effects of combining classifiers with the same training statistics using Bayesian decision rules
Multiple classifier systems (MCS) are attracting increasing interest in the field of pattern recognition and machine learning. Recently, MCS are also being introduced in the remote sensing field where the importance of classifier diversity for image classification problems has not been examined.
Green energy, climate and society
A zöldenergia (energetikai biomassza) előállítható elsődleges, másodlagos és harmadlagos biomasszából. Elsőként a melléktermékeket és hulladékokat célszerű felhasználni, majd pedig a fás és lágy szárú célültetvényeken előállított zöldenergia-hordozókat. A hazai mező- és erdőgazdasági melléktermék és hulladék energetikai célra hasznosítható évi mennyisége 4,9-5,7 millió tonna közötti, amely 40-50%-kal több, mint az évente kitermelt tűzifa.
General distribution potential agricultural areas of Samsun province and importance of soil survey and mapping
Recently, studies on land consolidation and valuation in farm lands have became more important due to a new soil conservation law (2005, 5403 numbered) and European Union Integration processes in our country. However, each soil group determined by morphometric system in agricultural lands have its own land use and management practices. Description and determination of soil properties are not sufficiently made by considering old soil classification system. Nowadays, Soil Taxonomy preferred by many countries in the world has been used for soil classification.
Monitoring and assessing groundwater level by GIS:A case study in the irrigated soils of Bafra Plain in Northern Turkey
This study aimed to determine monthly and seasonal ground water level variations of agricultural soils of the right-land irrigated area in Bafra Plain using Geographical Information systems (GIS). To achieve this purpose, ground water levels were monitored at 62 different points. The maps of problematic areas for drainage were developed using the highest and lowest ground water levels to determine the problems caused by high ground water level.
Economics of Controlling Invasive Species: A Stochastic Optimisation Model for a Spatial-Dynamic Process
Invasive species are significant threats to biodiversity, natural ecosystems andagriculture leading to large worldwide economic and environmental damage. Spreadand control of invasive species are stochastic processes with important spatialdimensions. Most economic studies of invasive species control ignore spatial andstochastic aspects. This paper covers this gap in the previous studies by analysing aspatially explicit dynamic process of controlling invasive species in a stochasticsetting.