AFBF-YOLO: An Improved YOLO11n Algorithm for Detecting Bunch and Maturity of Cherry Tomatoes in Greenhouse Environments

Accurate detection of cherry tomato clusters and their ripeness stages is critical for the development of intelligent harvesting systems in modern agriculture. In response to the challenges posed by occlusion, overlapping clusters, and subtle ripeness variations under complex greenhouse environments...

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Bibliographic Details

Published in:	Plants
Main Authors:	Bo-Jin Chen, Jun-Yan Bu, Jun-Lin Xia, Ming-Xuan Li, Wen-Hao Su
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	precision agriculture YOLO11 cherry tomato ripeness detection greenhouse environment
Online Access:	https://www.mdpi.com/2223-7747/14/16/2587