An Improved YOLOv5s-Based <i>Agaricus bisporus</i> Detection Algorithm

An Improved YOLOv5s-Based <i>Agaricus bisporus</i> Detection Algorithm

This study aims to improve the <i>Agaricus bisporus</i> detection efficiency and performance of harvesting robots in the complex environment of the mushroom growing house. Based on deep learning networks, an improved YOLOv5s algorithm was proposed for accurate <i>A. bisporus</i&...

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Bibliographic Details
Main Authors: Chao Chen, Feng Wang, Yuzhe Cai, Shanlin Yi, Baofeng Zhang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Agronomy
Subjects:
mushroom detection
computer vision
center point positioning
diameter measurement
attention mechanism
Online Access:https://www.mdpi.com/2073-4395/13/7/1871

Internet

https://www.mdpi.com/2073-4395/13/7/1871

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