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Article

Pinpointing Moisture: The Capacitive Detection for Standing Tree Health

College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
*
Author to whom correspondence should be addressed.
Sensors 2024, 24(13), 4040; https://doi.org/10.3390/s24134040
Submission received: 9 April 2024 / Revised: 6 June 2024 / Accepted: 18 June 2024 / Published: 21 June 2024
(This article belongs to the Topic Advances in Non-Destructive Testing Methods, 2nd Edition)

Abstract

Background: the feasibility of the capacitance method for detecting the water content in standing tree trunks was investigated using capacitance-based equipment that was designed for measuring the water content of standing tree trunks. Methods: In laboratory experiments, the best insertion depth of the probe for standing wood was determined by measurement experiments conducted at various depths. The bark was to be peeled when specimens and standing wood were being measured. The actual water content of the test object was obtained by specimens being weighed and the standing wood being weighed after the wood core was extracted. Results: A forecast of the moisture content of standing wood within a range of 0 to 180% was achieved by the measuring instrument. The feasibility of the device for basswood and fir trees is preliminarily studied. When compared to the drying method, the average error of the test results was found to be less than 8%, with basswood at 7.75%, and fir at 7.35%. Conclusions: It was concluded that the measuring instrument has a wide measuring range and is suitable for measuring wood with low moisture content, as well as standing timber with high moisture content. The measuring instrument, being small in size, easy to carry, and capable of switching modes, is considered to have a good application prospect in the field of forest precision monitoring and quality improvement.
Keywords: capacitance method; standing tree; moisture content; measuring instrument capacitance method; standing tree; moisture content; measuring instrument

Share and Cite

MDPI and ACS Style

Yao, J.; Zhen, Z.; Xu, H.; Zhao, L.; Duan, Y.; Guo, X. Pinpointing Moisture: The Capacitive Detection for Standing Tree Health. Sensors 2024, 24, 4040. https://doi.org/10.3390/s24134040

AMA Style

Yao J, Zhen Z, Xu H, Zhao L, Duan Y, Guo X. Pinpointing Moisture: The Capacitive Detection for Standing Tree Health. Sensors. 2024; 24(13):4040. https://doi.org/10.3390/s24134040

Chicago/Turabian Style

Yao, Jianan, Zonglin Zhen, Huadong Xu, Liming Zhao, Yuying Duan, and Xuhui Guo. 2024. "Pinpointing Moisture: The Capacitive Detection for Standing Tree Health" Sensors 24, no. 13: 4040. https://doi.org/10.3390/s24134040

APA Style

Yao, J., Zhen, Z., Xu, H., Zhao, L., Duan, Y., & Guo, X. (2024). Pinpointing Moisture: The Capacitive Detection for Standing Tree Health. Sensors, 24(13), 4040. https://doi.org/10.3390/s24134040

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