Identification and Classification of Mechanical Damage During Continuous Harvesting of Root Crops Using Computer Vision Methods

Identification and Classification of Mechanical Damage During Continuous Harvesting of Root Crops Using Computer Vision Methods

Detecting sugar beetroot crops with mechanical damage using machine learning methods is necessary for fine-tuning beet harvester units. The Agrifac HEXX TRAXX harvester with an installed computer vision system was investigated. A video camera (24 fps) was installed above the turbine, which receives...

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Bibliographic Details
Main Authors: Aleksey Osipov, Vyacheslav Shumaev, Adam Ekielski, Timur Gataullin, Stanislav Suvorov, Sergey Mishurov, Sergey Gataullin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
blurred image classification
defect identification
fast detection
machine learning
YOLOv4-tiny
Online Access:https://ieeexplore.ieee.org/document/9729819/

Internet

https://ieeexplore.ieee.org/document/9729819/

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