• Shubham Pawar
• P. S. Kokare
• Shashikant Bhosale
• Ajinkya Patil
• B. A. Patil

Waterfront Ocean of the southern Gulf of Finland is under weighty anthropogenic pressure because of improvement of harbors and increment of boat traffic. Water quality information typifies fundamental proof to help dynamic in the administration of water assets. A start to finish cycle to accomplish a total system technique for Harmful Algal Bloom (HAB) development expectation is critical for water the executives, particularly in carrying out powerful prescient demonstrating of HAB to forestall water contamination. Past works have independently centered on the forecast part or the execution of the water checking framework that includes the joining of sensors through the Internet of Things (IoT). These examinations need terms of conversation of both IoT with the green growth environmental area and expectation technique. SVM methods are been utilized for Machine learning on proposed framework.

IoT, SVM

"Costal Water Quality Monitoring System Using Algae Predictive Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.498-502, August-2022, Available :http://www.jetir.org/papers/JETIRFP06088.pdf

"Costal Water Quality Monitoring System Using Algae Predictive Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp498-502, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06088.pdf