Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province

Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province

Cadmium (Cd) pollution poses a severe threat to rice safety and human health, while traditional linear models exhibit significant limitations in predicting rice Cd accumulation due to environmental complexities. This study systematically evaluated the predictive performance of Random Forest (RF), Gr...

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Bibliographic Details
Main Authors: Qing-Qian Peng, Xia Zhou, Hang Zhou, Ye Liao, Zi-Yu Han, Lu Hu, Peng Zeng, Jiao-Feng Gu, Rong Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agronomy
Subjects:
machine learning
cadmium pollution
prediction model
spatiotemporal extrapolation
agricultural environmental complexity
Online Access:https://www.mdpi.com/2073-4395/15/6/1478
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