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Decision Support System for Variable Rate Irrigation Based on UAV Multispectral Remote Sensing
Xiang Shi1,2, Wenting Han3,4, Ting Zhao5
1College of Mechanical and Electronic Engineering, Northwest A & F University, Yangling 712100, China.
This study developed a variable rate irrigation (VRI) decision support system (DSS-VRI) using UAV imagery to optimize water use in agriculture. The system accurately adjusted irrigation based on crop water needs, conserving water resources.
Area of Science:
- Agricultural Engineering
- Remote Sensing
- Water Resource Management
Background:
- Water conservation is crucial, necessitating efficient irrigation strategies.
- Spatial variability in crop water requirements demands tailored irrigation approaches.
- Existing irrigation systems often lack the precision to address field-specific needs.
Purpose of the Study:
- To develop and validate a decision support system for variable rate irrigation (DSS-VRI) using center pivot systems.
- To integrate remote sensing data for precise irrigation management.
- To enhance water use efficiency in agriculture through intelligent irrigation control.
Main Methods:
- Processing multi-spectral UAV imagery to derive vegetation indices (VI).
- Utilizing established relationships between VIs, crop evapotranspiration (ETc), and crop water stress index (CWSI).
- Implementing a fuzzy inference system with ETc, CWSI, and precipitation as inputs to generate irrigation control maps.
Main Results:
- The DSS-VRI successfully generated duty-cycle control maps for variable rate irrigation.
- A water stress experiment confirmed the system's rationality, delivering more irrigation to areas with higher water stress.
- The developed system demonstrated effective irrigation amount adjustment based on crop water status.
Conclusions:
- The developed DSS-VRI is a rational and effective tool for optimizing water application in agriculture.
- Integration of UAV-based remote sensing and fuzzy logic enables precise, needs-based irrigation.
- The user-friendly interface facilitates the practical implementation of advanced irrigation management strategies.
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