Development of High-Efficiency Spray Control Algorithm for Each Recognition Area Based on LiDAR for Pear Orchards 


Vol. 46,  No. 11, pp. 2088-2099, Nov.  2021
10.7840/kics.2021.46.11.2088


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  Abstract

In this paper, a high-efficiency algorithm was proposed to enable spray control considering the planting conditions of orchards using LiDAR in pear orchards. In the previous study developed for apple orchards, the recognition area was defined and spraying for each nozzle was controlled in consideration of the vertical distribution of fruit tree volume data. In addition, the sequential delay technique was used to solve the problem that the sprayed pesticide became fog-like and recognized by the LiDAR. However, in the case of a pear orchard, the distribution of fruit tree volume data recognized by the sensor is different because a planting method different from that of apples is used. Considering the changed physical characteristics of the orchard and the structural characteristics of the control nozzle, the method of analyzing field data and defining the recognition area and the algorithm for recognizing each spray area were improved to supplement the orchard recognition algorithm. A Gaussian filter-based simulation was performed on the distributed state value memory for each recognition area of the recognized fruit tree data to verify the validity and proposed a method to improve the accuracy of the signal for controlling the spray nozzle.

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  Cite this article

[IEEE Style]

C. Yang, J. Won, G. Kim, K. Kwon, K. Kim, Y. Hong, "Development of High-Efficiency Spray Control Algorithm for Each Recognition Area Based on LiDAR for Pear Orchards," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 11, pp. 2088-2099, 2021. DOI: 10.7840/kics.2021.46.11.2088.

[ACM Style]

Changju Yang, Jin-ho Won, Gookhwan Kim, Kyung-Do Kwon, Kyoung-Chul Kim, and Youngki Hong. 2021. Development of High-Efficiency Spray Control Algorithm for Each Recognition Area Based on LiDAR for Pear Orchards. The Journal of Korean Institute of Communications and Information Sciences, 46, 11, (2021), 2088-2099. DOI: 10.7840/kics.2021.46.11.2088.

[KICS Style]

Changju Yang, Jin-ho Won, Gookhwan Kim, Kyung-Do Kwon, Kyoung-Chul Kim, Youngki Hong, "Development of High-Efficiency Spray Control Algorithm for Each Recognition Area Based on LiDAR for Pear Orchards," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 11, pp. 2088-2099, 11. 2021. (https://doi.org/10.7840/kics.2021.46.11.2088)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880