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Data Driven AI (artificial Intelligence) Detection Furnish Economic Pathways for Microplastics
Summary
Researchers reviewed how artificial intelligence is being applied to detect and track microplastics in water, arguing that AI-driven methods can make monitoring faster, cheaper, and more scalable than traditional approaches. Because microplastics are too small to be caught by standard water filters, smarter detection tools are critical for protecting drinking water and aquatic ecosystems.
Microplastics pollution is killing human life, contaminating our oceans, and lasting for longer in the environment than it is used.Microplastics have contaminated the geochemistry and turned the water system into trash barrels.Its detection in water is easier compared to soil and air so the attention of researchers is focused on it for now.Being very small in size, microplastics can easily cross the water filtration system and end up in the ocean or lakes and become a prospective challenge to aquatic life.This review piece provides the hot research theme and current advances in the field of microplastics and their eradication through the virtual world of artificial intelligence (AI) because Microplastics have a confrontation with clean water tactics.
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