Prediction on the Level of Toxicity in Fruits and Vegetables Based on PAHs Using Machine Learning

This study focuses on assessing the toxicity levels in fruits and vegetables based on the presence of polycyclic aromatic hydrocarbons (PAHs), particularly in regions affected by industrial and vehicular pollution where the particulate matter deposits on the plant surfaces. Traditional methods, incl...

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Bibliographic Details

Published in:	Nature Environment and Pollution Technology
Main Author:	Staphney Texina, Sathees Kumar Nataraj, Alagammai Renganathan and Kavitha Vasantha
Format:	Article
Language:	English
Published:	Technoscience Publications 2025-06-01
Subjects:	polycyclic aromatic hydrocarbons, environmental contaminants, fruits and vegetables, machine learning algorithm
Online Access:	https://neptjournal.com/upload-images/(1)-D-1690.pdf