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http://dx.doi.org/10.7839/ksfc.2020.17.4.023

An Intelligent Spraying Machine Capable of Selective Spraying Corresponding to the Shape of Fruit Trees Using LiDAR  

Yang, Changju (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Kim, Gookhwan (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Lee, Meonghun (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Kim, Kyoung-Chul (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Hong, Youngki (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Kim, Hyunjong (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Lee, Siyoung (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Ryu, Hee-Suk (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Kwon, Kyung-Do (Department of Agricultural Engineering, National Institute of Agricultural Sciences)
Oh, Min-seok (Department of Agro-food Safety and Crop Protection, National Institute of Agricultural Sciences)
Publication Information
Journal of Drive and Control / v.17, no.4, 2020 , pp. 23-30 More about this Journal
Abstract
Driving on irregular and inclined roads using agricultural machinery such as spraying machines or trucks in orchards causes farmer casualties associated with the overturning of agricultural machinery. In addition, the harm to agricultural workers caused by the excessive inhalation of the scattered pesticide frequently occurs during pest control processes. To address these problems, we introduced precision agricultural technology that could selectively spray pesticides only where the fruit is present by recognizing the presence or shape of the fruit in the orchard. In this paper, a 16-channel LIDAR (VLP-16) made of Velodyne was used to identify the shape of fruit trees. Solenoid valves were attached to the end parts of 12 nozzles of the orchard spraying machine for on/off control. The smart spraying machine implemented in this way was mounted on a vehicle capable of autonomous travel and performed selective control depending upon the shape of the fruit trees while traveling in the orchards. This is expected to significantly reduce the amounts of pesticides used in orchards and production costs.
Keywords
LiDAR; Speed Sprayer; Recognition of Fruits Tree Shape;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 M.-G. Kim, S.-H. Bae and H. Kim, "Real-Time 3D-LiDAR Object Detection in Autonomous Vehicle Systems Using Cluster-Based Candidates and Deep Learning", Journal of Institute of Control, Robotics and Systems, Vol.25, No.9, pp.795-801, 2019.   DOI
2 J. Park et al., "Projection-based Occupancy Map Coding for 3D Point Cloud Compression", IEIE Transactions on Smart Processing & Computing, Vol.9, No.4, pp.293-297, 2020.   DOI
3 J. Mangadoa et al., "Measuring the Accuracy of a Pesticide Treatment by an Image Analyzer", Procedia Technology, Vol.8. pp.498-502, 2013.   DOI
4 Ministry of Agriculture, Food and Rural Affairs Republic of Korea, "Agriculture, Food and Rural Affairs Statistics Yearbook", p.82, 2019.
5 W.-R. Gill et al., "Design and Development of Chemical Spray Robot Based on Analysis of Greenhouse Environment", Journal of Korean Institute of Intelligent Systems, Vol.30, No.4, pp.290-296, 2020.   DOI
6 "Investigation of diseases and damages in the work of farmers", Rural Development Administration, 2019.
7 K. Seo et al., "Development of Tree Recognition Algorithm for Low Pesticide Control," Proceedings of KSPE 2017 Autumn Conference, p.365, 2017.
8 H. Kim, J. Lee, and Y. Kim, "A Study on the Integration of Airborne LiDAR and UAV Data for High-resolution Topographic Information Construction of Tidal Flat", Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol.38, No.4, pp.345-352, 2020.   DOI
9 K. Lee et al., "User Interface Design of a Remote Controller for a Sprayer", Proceedings of 2019 The 34th ICROS Annual Conference, pp.129-130, 2019.
10 M. Lee et al., "Development of Off-road Surface Shape Estimation System Using Depth Camera for Unmanned Agricultural Tractor", Proceedings of The Korean Society of Mechanical Engineers Conference, pp.135-136, 2020.
11 T, Yoo and J, Kwon, "Accuracy verification of digital topography (contour lines) using high-precision LiDAR data", Proceedings of Korean Society of Surveying, Geodesy, Photogrammetry and Cartography Annual Conference, pp.241-243, 2020.
12 J.-K. Park and K.-W. Lee, "Analysis of Data Characteristics by UAV LiDAR Sensor", Journal of the Korea Academia-Industrial cooperation Society, Vol.21, No.5, pp.1-6, 2020.   DOI
13 K. Seo et al., "Developed Remote Control Sprayer for Low Pesticide Variant Control", Proceedings of KSPE 2017 Autumn Conference, p.366, 2017.