Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework

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• 作者：Alison C. McCarthy ; Nigel H. Hancock ; Steven R. Raine
• 关键词：Variable-rate irrigation ; Centre pivot ; Lateral move ; Scheduling ; Automation ; OZCOT
• 刊名：Computers and Electronics in Agriculture
• 出版年：February, 2014
• 年：2014
• 卷：101
• 期：Complete
• 页码：148-162
• 全文大小：3800 K

文摘

Feedback control systems offer opportunities to accommodate spatial and temporal differences in crop water requirement and to improve the automated irrigation of field crops via real-time data from in-field plant, soil-water and evaporation sensing. This paper describes two sensor-based strategies applied to irrigation control, 鈥業terative Learning Control鈥?(ILC) and custom-designed 鈥業terative Hill Climbing Control鈥?(IHCC), implemented in the control simulation and evaluation framework 鈥榁ARIwise鈥? Simulation of an irrigated cotton crop using soils and merged 1999-2004 weather data of SE Queensland, Australia, and represented by the performance of the well-validated cotton growth and production model OZCOT, permitted the relative performance of differing sensor data types and availability to be evaluated (both as alternatives and in combination) in meeting the requirement to optimise either crop yield or water use efficiency. These simulations indicated that ILC would perform better at maintaining soil-water deficit, whilst IHCC would be better at maximising crop yield when plant and soil sensors were utilised in combination. This work demonstrates that the optimal choice of field sensor(s) and control strategy will be a function of the irrigation objective and the spatial and temporal availability and type of field measurements.