A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks

A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks

Achieving the non-contact and non-destructive observation of broccoli head is the key step to realize the acquisition of high-throughput phenotyping information of broccoli. However, the rapid segmentation and grading of broccoli head remains difficult in many parts of the world due to low equipment...

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Bibliographic Details
Main Authors: Chengquan Zhou, Jun Hu, Zhifu Xu, Jibo Yue, Hongbao Ye, Guijun Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Plant Science
Subjects:
growth monitoring
deep learning
improved ResNet
freshness grading
ground-based imaging system
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2020.00402/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2020.00402/full

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