Instantaneous frequency enhanced peak detection for sugarcane seed cutting Online publication date: Thu, 17-Mar-2022
by Wei Junfeng; Tang Weidong; Wen Chunming; Huang Longdian
International Journal of Computer Applications in Technology (IJCAT), Vol. 67, No. 2/3, 2021
Abstract: Peak detection methods are widely used in various areas. This study introduces a peak detection method used for seed cutting. The envelope of signal in discrete time domain was calculated by Hilbert transform. In order to increase the reliability in noise condition, the envelope was enhanced by utilising instantaneous frequency of signal, and then a multi-rule joint search algorithm marks the peaks, which stands for the location of a node. The proposed method worked in worse SNR condition in the simulation, and was verified in the experiment of detecting sugarcane nodes. Local maximums of accelerometer data are marked, showing the position of node rings on the sugarcane surface. The position data will be used for an action signal in cutting machines, or be used for the analysis of crop growth.
Online publication date: Thu, 17-Mar-2022
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