A Smartphone-Based Method for Assessing Tomato Nutrient Status Through Trichome Density Measurement

Early detection of fertilizer-induced stress in tomato plants is crucial for optimizing crop yield through timely management interventions. While conventional optical methods struggle to detect fertilizer stress in young leaves, these leaves contain valuable diagnostic information through their micr...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Sho Ueda, Xujun Ye
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Tomato
tomato leaf
fertilizer stress
trichome
smartphone
computer vision
Online Access:https://ieeexplore.ieee.org/document/10756520/

Internet

https://ieeexplore.ieee.org/document/10756520/

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