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 Its content includes unique grey literature such as unpublished scientific and technical reports, theses, conference papers, government publications, and more.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 8341 - 8345 of 9579Ecosystem Services on New Zealand Arable Farms
Researchers have estimated the total economic value of global ecosystem goods and services showing that a significant portion of humanity's economic well being is unaccounted for in conventional GNP accounting (Constanza et al., 1997). To demonstrate this point, authors have conventionally used highly aggregated landscape units for analysis (e.g., biomes), and average, not marginal values, of each ecosystem good or service are estimated for each unit using value transfer methodologies (Wilson et al., 2004).
House Price Prediction: Hedonic Price Model vs. Artificial Neural Network
The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network model on house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities around the house and geographical location are considered.
A Nonparametric Approach to The Analysis of HACCP/RMP Implementation Process
In this paper we conduct an analysis of the implementation of HACCP/RMP in the NZ Meat Industry based on the data collected from our recent survey. Nonparametric methods are used to measure the association between plant characteristics such as size, age, activities, and food safety management practices and HACCP/RMP adoption motivations, implementation problems, benefits, and costs. Results give insights into the ongoing process of mandatory RMP in New Zealand.
Investments in Environmental Research, Science and Technology: Their Impacts on Irrigation and Mussel Farming
MoRST is evaluating the Environmental Research output class of the Public Good Science Fund to identify inter alia the impacts of Environmental RS&T spending. Three specific questions are: How effective has the funding on Environmental RS&T been? Is Environmental RS&T having a positive effect by delivering real benefits to New Zealand, particularly to the environment? What influences the link between research and tangible positive benefits?
A Learning Model of Technology Transfer for the Kiwifruit Industry
In July 2003, ZESPRI International merged the Technology Transfer team that had historically been focused on achieving uptake of new technologies with ZESPRI Innovation, the team that had been responsible for the development of new technologies. This change has combined skills in research, development and extension into a single, co-ordinated grouping to improve grower profitability through a greater contribution to supply chain developments and grower learning.The Industry Development strategy of ZESPRI Innovation is based upon a model of industry learning.