Patterns of Use of Computer Support for Environmental Accreditation in Rural New Zealand
Formal environmental auditing practices have largely been the domain of large organisations. This paper describes the results from the use of a computer-based process for accreditation at the farm level. This study of the pattern of use of such a system enables both the fine-tuning and continued deployment of this system, and the appropriate design of similar schemes. The use of the system increased the quality of a set of accreditation documents while reducing the development time from six months to less than two hours.
Key wordsRural Database Policy Impact Assessment Verification IS01400 Farm plan.
- Barringer, J., Wilde, H., Willoughby, J., Burgham, S., Hewitt, A., Gibb, R., Newsome, P., & Riijkse, W. (1998). “Restructuring the New Zealand Land Resource Inventory to meet the Changing Needs for Spatial Information in Environmental Research and Management”. In Firns P. (ed) Colloquium of the Spatial Information Research Centre, Otago University ( 10 ): 25–33Google Scholar
- Ludemann, G., Hewson, D. and Green, R. (1996). North Otago Sustainable Land Management Group: Assisting the North Otago Community to Move Towards the Goal of Sustainable Land Use. New Zealand Grasslands Conference, Oamaru. 8 pGoogle Scholar
- Mann, S. and Brown, I. (1999), “Decision Support for Environmental Accreditation” New Zealand Journal of Applied Computing and Information Technology 2 (2): 39–53Google Scholar
- NOSLaM. (1995). North Otago Sustainable Land Management Guidelines. Hewson, D. J. and Mann, S., (Eds) Dunedin, NZ, North Otago Sustainable Land Management Group and Otago Regional CouncilGoogle Scholar
- NOSLaM. (1998). Farming for the Future, Sustainable Farming Through Total Integrated Management Dunedin, NZ, North Otago Sustainable Land Management Group and Otago Regional Council.Google Scholar
- A demonstration version of the Ag-vantage system may be obtained from the following uri: http://bit.tekotago.ac.nz/~sam/research/webpage/tims.htmlGoogle Scholar