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Identification of Tapping Panel Dryness in Hevea brasiliensis Based on Threshold Segmentation Algorithm

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DOI: 10.23977/msmee.2018.72143


Jie Zhang, Pan Zhou and Jihong Long

Corresponding Author

Jie Zhang


The tapping panel dryness (TPD) in Hevea brasiliensis is a complex physiological syndrome and seriously affects the yield of the natural latex from rubber tree. The study of TPD is of great significance for improving the yield of latex. The traditional artificial recognition of TPD has a certain deviation due to the high precision of grading workload, so the impact of TPD cannot be paid attention to in time. This paper uses image processing technology in the field of information science to identify the TPD, and uses image segmentation to determine the level of TPD, thus greatly reducing the artificial judgment of the TPD level of misjudgment rate.


Image processing, image segmentation, TPD, threshold segmentation algorithm

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