A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model

A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model

With the rapid development of agriculture, tomatoes, as an important economic crop, require accurate ripeness recognition technology to enable selective harvesting. Therefore, intelligent tomato ripeness recognition plays a crucial role in agricultural production. However, factors such as lighting c...

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Bibliographic Details
Main Authors: Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Horticulturae
Subjects:
YOLOv8 model
tomato detection
ripeness recognition
deep learning
Online Access:https://www.mdpi.com/2311-7524/11/1/15
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