In situ detection of soil moisture content based on thermal infrared technology and thermal inertia model

Wenjun Shang; Caixia Wang

doi:10.1117/12.2639165

15 July 2022 In situ detection of soil moisture content based on thermal infrared technology and thermal inertia model

Wenjun Shang, Caixia Wang

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 1225812 (2022) https://doi.org/10.1117/12.2639165
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

Our country is a developing country dominated by agriculture, and the trade of agricultural and sideline products accounts for a considerable proportion in China's national economy. Soil moisture content is one of the basic parameters reflecting soil fertility and crop growth in agricultural production activities. The detection of soil moisture content plays an extremely important role in improving soil utilization and increasing crop yield. At the same time, thermal infrared technology has the characteristics of wide acquisition range, high acquisition accuracy, fast information transmission speed and less affected by interference factors. It provides a new method for in-situ detection of soil moisture. In this paper, infrared thermal imaging technology is used to detect the soil in the measured area in situ, which not only avoids the influence of traditional drying method on the sample in the sampling process, but also improves the detection accuracy. The combination of thermal imaging technology and thermal inertia model makes it suitable for the detection of soil moisture content under most environmental conditions, including bare soil, sandy land and low vegetation coverage.

Citation Download Citation

Wenjun Shang and Caixia Wang "In situ detection of soil moisture content based on thermal infrared technology and thermal inertia model", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 1225812 (15 July 2022); https://doi.org/10.1117/12.2639165

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