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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 6306 - 6310 of 95792009 North Dakota Agricultural Outlook: Representative Farms, 2009-2018
Net farm income for all representative farms in 2018 is projected to be lower than in 2008.Low-profit farms, which comprise 20% of the farms in the study, may not have financialresiliency to survive without off-farm income. Commodity prices are expected to fall fromcurrent levels however the final level is unknown. Commodity yields are projected to increase athistorical trend-line rates and production expenses are expected to return to normal growth ratesafter 2009. Debt-to-asset ratios for all farms except for the low profit farm will decrease slightlythroughout the forecast period.
Measuring the Consistency of Phytosanitary Measures
The paper presents a model for quantifying quarantine-related phytosanitary measures by combining the two basic components of pest risk assessment, probability of establishment and economic effects, into a single management framework, Iso-Risk. The model provides a systematic and objective basis for defining and measuring acceptable risk and for justifying quarantine actions relative to acceptable risk. This can then be used to measure consistency of phytosanitary measures. The Iso-Risk framework is applied using a database of USDA phytosanitary risk assessments.
A review of Multi-Agent Simulation Models in Agriculture
Multi-Agent Simulation (MAS) models are intended to capture emergent properties of complex systems that are not amenable to equilibrium analysis. They are beginning to see some use for analysing agricultural systems. The paper reports on work in progress to create a MAS for specific sectors in New Zealand agriculture. One part of the paper focuses on options for modelling land and other resources such as water, labour and capital in this model, as well as markets for exchanging resources and commodities.
Integrated assessment of the environmental, economic and social impacts of land use change using a GIS format – the CLUES model
The CLUES model is an integrated catchment based model that designed to assist policy makers in understanding the implications of land use scenarios for water quality and a range of other indicators. CLUES integrates a number of existing models from several research providers, including SPARROW (catchment hydrology), OVERSEER and SPASMO (nutrient losses), ENSUS (nitrate leaching risk), and a socioeconomic model. These are combined in a GIS framework which allows scenarios of land use to be assessed in a spatial manner.
Ranking New Zealand river values – a novel approach to managing the ‘chalk and cheese’ problem
In New Zealand, regional councils have the task of sustainably managing rivers andtheir flows. In trying to achieve this task they face enormous challenges including theneed to allocate flows amongst often highly disparate in- (e.g., angling, kayaking,native fish and birds) and out-of-river (e.g., irrigation and hydro energy) values/needs.To aid in this task these councils need to know which rivers or parts of rivers arerelatively more or less important on national, regional and local bases, for particularvalues.