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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 1391 - 1395 of 9579Evaluation of historical leaf area index change in the MIROC-ESM
The global carbon cycle has feedbacks on the global climate, and climate-carbon cycle interactions are explicitly represented in earth system models (ESMs). In ESMs, leaf area index (LAI) is a key variable for projecting future environmental changes, but it might be one of the most difficult to precisely predict. In this research, historical LAI changes reproduced in the ESM named 'Model for Interdisciplinary Research on Climate ESM (MIROC-ESM)' are analyzed, focusing on impacts of CO2 fertilization effects, climate change, and land-use change.
Effects of early seeding and mulching on growth and yield of onion in spring seeding cropping type in upland field converted from paddy field
GERMPLASM BANK MAINTENANCE ECONOMICAL STUDY
Animal genetic resources ex situ conservation is an essential and complementary tool to in situ conservation. It is one of the main procedures for population recovery. The aim of this study was to calculate and to break down the cost, determining criopreserved seminal doses annual maintenance expenses by species. During the study, the costs of two maintenance methods, on one hand kept under self-maintenance and on the other hand by means of hiring an outside maintenance service, were compared for the following species: cattle, goats, sheep, pigs and equines.
Land use change detection using remote sensing and artificial neural network: Application to Birjand, Iran
and is becoming a scarce natural resource due to the burgeoning population growth and urbanization. Essentially, detecting changes in land surface is significant for understanding and assessing human impacts on the environment. Nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. This study investigates the land use changes in Birjand of Iran using Landsat TM5 images between 1986 and 2010. Artificial neural network was used for classification of Landsat images.
Open exchange of scientific knowledge and European copyright: The case of biodiversity information
Background. The 7th Framework Programme for Research and Technological Development is helping the European to prepare for an integrative system for intelligent management of biodiversity knowledge. The infrastructure that is envisaged and that will be further developed within the Programme “Horizon 2020” aims to provide open and free access to taxonomic information to anyone with a requirement for biodiversity data, without the need for individual consent of other persons or institutions.