Maturity identification and category determination method of broccoli based on semantic segmentation models-Reference-Cited by-同舟云学术

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Maturity identification and category determination method of broccoli based on semantic segmentation models

Published:2024-02 Issue: Volume:217 Page:108633
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Kang Shuo^ORCID,Li Dongfang,Li Boliao,Zhu Jianxi,Long Sifang,Wang Jun^ORCID

Publisher

Elsevier BV

Reference27 articles.

1. Extraction, chemical characterization and biological activity determination of broccoli health promoting compounds;Ares;J. Chromatogr. A,2013

2. A high-resolution, multimodal data set for agricultural robotics: a Ladybird's-eye view of Brassica;Bender;J. Field Rob.,2020

3. Machine vision for a selective broccoli harvesting robot;Blok;IFAC-PapersOnLine,2016

4. The effect of data augmentation and network simplification on the image-based detection of broccoli heads with Mask R-CNN;Blok;J. Field Rob.,2021

5. Image-based size estimation of broccoli heads under varying degrees of occlusion;Blok;Biosyst. Eng.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a novel variable-curvature soft gripper used for orientating broccoli in the trimming line;Computers and Electronics in Agriculture;2024-10

2. A Comparative Dataset of Annotated Broccoli Heads Recorded with Depth Cameras from a Moving Vehicle;Agronomy;2024-05-03

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