601. Cost-Informed Water Decision-Making Technology for Smarter Farming
- Author
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John D. Pisaniello, Peter Buss, Joanne L. Tingey-Holyoak, Ben Wiersma, 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems Modena, Italy 19-21 February 2020, Tingey-Holyoak, Joanne, Pisaniello, John Dean, Buss, Peter, and Wiersma, Ben
- Subjects
business.industry ,water solutions ,Business system planning ,Intelligent decision support system ,Cost accounting ,Context (language use) ,Environmental economics ,Weather station ,Variety (cybernetics) ,smart farming ,Agriculture ,soil sensors ,sensor modeling ,water productivity ,potatoes ,Business ,cost accounting ,integrated design ,Activity-based costing - Abstract
Around the world, producers across a variety of industries need tools and models for better measuring and monitoring water in order to guide decision making and improve productivity. Nowhere more is this the case than in irrigated agriculture. The purpose of this research is to develop a technology that integrates farmer costing data with on-site physical data provided by intelligent systems and technology to provide an account of on-farm water use. Currently, farm accounting technologies are not at the level of sophistication required to deeply consider the financial impacts of water use or loss. Water accounting technologies are not able to easily link to and integrate business systems and data to provide necessary monetary decision-making data, nor the context to support a smarter approach to cost-informed water management. Linking of soil moisture sensed data and local and remote weather station data to farm accounting in a potatoes case study demonstrates how smarter farm decision making can be supported by linking business systems and sensing technology.
- Published
- 2020