Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging

Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging

Abstract Wheat, a major global cereal crop, is prone to quality degradation from early sprouting when stored improperly, resulting in substantial economic losses. Traditional methods for detecting early sprouting are labor-intensive and destructive, underscoring the need for rapid, non-destructive a...

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Bibliographic Details
Main Authors: Guangming Li, Hongyi Ge, Yuying Jiang, Yuan Zhang, Xi Jin
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Plant Methods
Subjects:
Early germination wheat detection
THz image
Image enhancement
YOLO V8
Gazelle Optimization Algorithm
Online Access:https://doi.org/10.1186/s13007-025-01393-6
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https://doi.org/10.1186/s13007-025-01393-6

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