Abstract—We have developed a multitudinous analysis system for agricultural applications. The system investigates and verifies the accuracy of kinematic direct sensing and visual analysis systems for workers and trainers engaged in pruning and shaping tree branches using small saws. The purpose of these activities is to improve ventilation and provide nourishment to trees more efficiently. In addition to aesthetic reasons, they also prevent infections in trees and stop the breeding of harmful insects. We used existing wearable sensing equipment that uses IPhone applications and MS Excel’s VBA program to get the Fast Fourier Transform (FFT) of signals for obtaining the characteristics of the difference of motion between experienced and inexperienced workers carrying out various agricultural tasks. For this purpose, the Direct Current (DC) value and Standard Deviation (SD) of acceleration and angular velocity were used. As pruning of trees is a universal activity, our proposed system and methodology can prove to be useful around the world.

 

Index Terms—pruning work, wearable sensing modules, acceleration sensor, angular velocity sensor, iPhone application

Cite: Shinji Kawakura and Ryosuke Shibasaki, "Method for Comparing and Verifying Physical Data Concerning Pruning of Plum Tree Branches by Wearable Sensing Systems," Journal of Advanced Agricultural Technologies, Vol. 5, No. 4, pp. 323-327, December 2018. Doi: 10.18178/joaat.5.4.323-327