Intelligent Identification of Tea Plant Seedlings Under High-Temperature Conditions via YOLOv11-MEIP Model Based on Chlorophyll Fluorescence Imaging

Intelligent Identification of Tea Plant Seedlings Under High-Temperature Conditions via YOLOv11-MEIP Model Based on Chlorophyll Fluorescence Imaging

To achieve an efficient, non-destructive, and intelligent identification of tea plant seedlings under high-temperature stress, this study proposes an improved YOLOv11 model based on chlorophyll fluorescence imaging technology for intelligent identification. Using tea plant seedlings under varying de...

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Bibliographic Details
Main Authors: Chun Wang, Zejun Wang, Lijiao Chen, Weihao Liu, Xinghua Wang, Zhiyong Cao, Jinyan Zhao, Man Zou, Hongxu Li, Wenxia Yuan, Baijuan Wang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Plants
Subjects:
chlorophyll fluorescence imaging
high-temperature stress
tea plant seedlings
improved YOLOv11
model lightweight
image classification recognition
Online Access:https://www.mdpi.com/2223-7747/14/13/1965
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