Estimation of Moisture Stress for Soybean Using Thermal Image Sensor Mounted on UAV

Min-Jun  Park1   Chan-Seok  Ryu1,*   Ye-Seong  Kang1   Si-Hyeong  Jang1   Jun-Woo  Park1   Tae-Yang  Kim1   Kyung-Suk  Kang1   Hyeon-Chan  Baek1   

1Department of Biological Industrial Mechanical Engineering, GyeongSang National University (Institute of Agriculture & Life Science), Jinju 52828, Republic of Korea

Abstract

This study was conducted to estimate the difference of water stress for soybeans between irrigated and unirrigated blocks depending on the leaf temperature using a thermal image sensor mounted on unmanned aerial vehicle. According to the irrigation method, when there was rainfall (Aug. 8, Sep. 6, Oct. 4) or the soil moisture level did not drop below 25% (Sep. 20), there was no significant difference in leaf temperature. However, there was a significant difference in leaf temperature when there was no rainfall for a certain period (Aug. 1 and Aug. 19). There were significant differences in fresh and dry weight on Aug. 8, Aug. 19, Sep.20 depending on the irrigation method except for Aug. 1, when the application time of the automatic irrigation system was short. There was no difference in fresh and dry weight with or without irrigation due to the difference in recovery ability from water stress (Sep. 6) and rainfall (Oct. 4). Fresh weight, dry weight, and moisture content did not clearly depend on water stress because of soybeans' growth variability among the blocks. However, there was a significant negative correlation between soybean leaf temperature, fresh weight, and dry weight. Soybean vegetation was significantly reduced when damaged by water stress.

Figures & Tables

Fig. 1. Test field with automatic irrigation system (6 blocks without irrigation).