Spray Drift Segmentation for Intelligent Spraying System Using 3D Point Cloud Deep Learning Framework

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...

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Bibliographic Details
Main Authors: Jaehwi Seol, Jeongeun Kim, Hyoung Il Son
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Drift
deep leraning
moblie LiDAR
intelligent spraying system
Online Access:https://ieeexplore.ieee.org/document/9832619/

Internet

https://ieeexplore.ieee.org/document/9832619/

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