Spray Drift Segmentation for Intelligent Spraying System Using 3D Point Cloud Deep Learning Framework
This study proposes a novel spray drift analysis method, based on 3D deep learning, managing and reducing spray drift using a mobile LiDAR method. LiDAR point clouds were trained to classify and segment spraying forms from orchards using the PointNet++ model, which is a 3D deep...
Main Authors: | Jaehwi Seol, Jeongeun Kim, Hyoung Il Son |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9832619/ |
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