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&...
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: | |
Online Access: | https://www.mdpi.com/2073-4395/13/7/1871 |
Similar Items
-
Mycoremediation of Flotation Tailings with <i>Agaricus bisporus</i>
by: Sylwia Budzyńska, et al.
Published: (2022-08-01) -
Rhabdomyolysis Induced by Agaricus Bisporus
by: Nazire Belgin Akıllı, et al.
Published: (2014-12-01) -
Agaricus bisporus production on substrates pasteurized by self-heating
by: Stephania Colmenares-Cruz, et al.
Published: (2017-06-01) -
A Novel Segmentation Recognition Algorithm of <i>Agaricus bisporus</i> Based on Morphology and Iterative Marker-Controlled Watershed Transform
by: Chao Chen, et al.
Published: (2023-01-01) -
Nutritional value and health-promoting properties of Agaricus bisporus (Lange) Imbach
by: Golak-Siwulska Iwona, et al.
Published: (2018-12-01)