An Improved Mask RCNN Model for Segmentation of ‘Kyoho’ (<i>Vitis labruscana</i>) Grape Bunch and Detection of Its Maturity Level

An Improved Mask RCNN Model for Segmentation of ‘Kyoho’ (<i>Vitis labruscana</i>) Grape Bunch and Detection of Its Maturity Level

The ‘Kyoho’ (<i>Vitis labruscana</i>) grape is one of the mainly fresh fruits; it is important to accurately segment the grape bunch and to detect its maturity level for the construction of an intelligent grape orchard. Grapes in the natural environment have different shapes, occlusion,...

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Bibliographic Details
Main Authors: Yane Li, Ying Wang, Dayu Xu, Jiaojiao Zhang, Jun Wen
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Agriculture
Subjects:
Mask RCNN algorithm
instance segmentation
attention module
convolutional neural network
grape maturity level detection
Online Access:https://www.mdpi.com/2077-0472/13/4/914

Internet

https://www.mdpi.com/2077-0472/13/4/914

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