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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.

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Summary
This summary is machine-generated.

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.

Keywords:
UAV multi-spectral imagedecision support system (DSS)duty-cycle control mapfuzzy logic systemvariable rate irrigation (VRI)

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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.