Detecting Arsenic Contamination Using Satellite Imagery and Machine Learning
Arsenic, a potent carcinogen and neurotoxin, affects over 200 million people globally. Current detection methods are laborious, expensive, and unscalable, being difficult to implement in developing regions and during crises such as COVID-19. This study attempts to determine if a relationship exists...
Main Authors: | Ayush Agrawal, Mark R. Petersen |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
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Series: | Toxics |
Subjects: | |
Online Access: | https://www.mdpi.com/2305-6304/9/12/333 |
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