LiDAR-based Efficient Spray Control Algorithm Development for Intelligent Spraying Machine (지능형 방제기를 위한 LiDAR 기반 효율적인 분사제어 알고리즘 개발)

Changju Yang (양창주); MEONGHUN LEE (이명훈); Kyung-Chul Kim (김경철); Youngki Hong (홍영기); Hyunjong Kim (김현종); Siyoung Lee (이시영); Hee-Seok Ryu (류희석); Kyung-Do Kwon (권경도); Min-seok Oh (오민석); Gookhwan Kim (김국환)

doi:10.34163/jkits.2020.15.5.009

LiDAR-based Efficient Spray Control Algorithm Development for Intelligent Spraying Machine

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2020, 15(5), pp.659-670
DOI : 10.34163/jkits.2020.15.5.009
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Received : October 8, 2020
Accepted : October 15, 2020
Published : October 31, 2020

Changju Yang ¹, MEONGHUN LEE ¹, Kyung-Chul Kim ¹, Youngki Hong ¹, Hyunjong Kim ¹, Siyoung Lee ¹, Hee-Seok Ryu ¹, Kyung-Do Kwon ¹, Min-seok Oh ¹, Gookhwan Kim ¹

¹국립농업과학원

Accredited

ABSTRACT

The decline in agricultural labor force not only makes it difficult to operate the agricultural machinery itself, but also leads to a tendency to avoid more dangerous work when it is involved, leading to a decrease in agricultural productivity. In particular, in the case of agricultural fields such as orchards, which target field crops, there are many restrictions on the development of unmanned technologies to reinforce the labor force. In the case of orchards, the most common work is to use a control device to spray pesticides. The control method of the existing batch spraying method causes excessive use of pesticides and scattering problems to neighboring farms, and in particular, farmers in the field are damaged by exposure. For this study, using a LiDAR sensor that has strong straightness and can accurately recognize the location of an object, it recognizes the shape of a fruit tree based on 3D location data, and applies down sampling and threshold processing techniques. In addition, it has been prepared so that hardware can be easily configured by simply installing an injection device, a controller, and a sensor in the existing commercial control unit. By recognizing the shape of the fruit tree and spraying pesticides only where necessary, a control algorithm was developed to reduce the use of pesticides and efficiently control work, and the effects were compared and analyzed through the paper cut.

KEYWORDS

LiDAR, Speed Sprayer, Recognition of Fruits Tree Shape, Sequence Delay, Down Sampling

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[other] / 2019 / Investigation of diseases and damages in the work of farmers / Rural Development Administration

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

LiDAR-based Efficient Spray Control Algorithm Development for Intelligent Spraying Machine

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* References for papers published after 2023 are currently being built.

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

LiDAR-based Efficient Spray Control Algorithm Development for Intelligent Spraying Machine

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* References for papers published after 2023 are currently being built.