Designing and Developing an Advanced Drone-Based Pollution Surveillance System for River Waterways, Streams, and Canals Using Machine Learning Algorithms: Case Study in Shatt al-Arab, South East Iraq

Designing and Developing an Advanced Drone-Based Pollution Surveillance System for River Waterways, Streams, and Canals Using Machine Learning Algorithms: Case Study in Shatt al-Arab, South East Iraq

This study explores pollution detection and classification in the Shatt al-Arab River using advanced image processing techniques. Our proposed system integrates Random Forest (RF), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) algorithms. The Shatt al-Arab River in Basra, Iraq, faces in...

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Bibliographic Details
Main Authors: Myssar Jabbar Hammood Al-Battbootti, Iuliana Marin, Sabah Al-Hameed, Ramona-Cristina Popa, Ionel Petrescu, Costin-Anton Boiangiu, Nicolae Goga
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
pollution detection
image processing
Shatt al-Arab River
Support Vector Machines
Random Forest
environmental monitoring
Online Access:https://www.mdpi.com/2076-3417/14/6/2382

Internet

https://www.mdpi.com/2076-3417/14/6/2382

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