Cost-Informed Water Decision-Making Technology for Smarter Farming

被引:4
|
作者
Tingey-Holyoak, Joanne [1 ]
Pisaniello, John Dean [1 ]
Buss, Peter [2 ]
Wiersma, Ben [2 ]
机构
[1] UniSA Business Sch, Sustainable Engn Accounting & Law Grp, City West Campus,North Terrace, Adelaide, SA 5000, Australia
[2] Sentek Pty Ltd, 77 Magill Rd, Stepney, SA 5069, Australia
来源
INTELLIGENT HUMAN SYSTEMS INTEGRATION 2020 | 2020年 / 1131卷
关键词
Soil sensors; Water productivity; Smart farming; Cost accounting; Potatoes;
D O I
10.1007/978-3-030-39512-4_63
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:404 / 408
页数:5
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