Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning

Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning

Cadmium (Cd) is a heavy metal recognized for its notable biotoxicity. Excessive Cd levels can have detrimental effects on crop growth, development, and yield. Real-time, rapid, and nondestructive monitoring of Cd content in leaves (LCd) is essential for food security. Previous research has primarily...

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Bibliographic Details
Main Authors: Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Rice
Cadmium content
Machine learning
Vegetation index
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651324016245
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