• Miss. Nidhi S. Rangari
• Dr. V .L Agrawal

A "red tide" is a typical term utilized for an unsafe algal sprout. Extraordinary compared to other known HABs in the country happens almost every midyear along Florida's Gulf Coast. This blossom, in the same way as other HABs(Harmful Algal bloom), is caused by minute green growth that create poisons that kill fish and make shellfish risky to eat. With the goal that Red tide, a hazard to marine condition, has been a major issue all around as of late. The species and the number of inhabitants in green growth are two key lists to foresee red tide algae. Before, the assignment to perceive and arrange red tide green growth was attempted by marine biologists and taxonomists with magnifying instruments physically, which is tedious and requires considerable authority learning. To defeat the constraints of customary red tide algal examining instruments, a robotized green growth characterization framework is in need. In Automatic picture characterization, a strategy for red tide green growth has been proposed.

"A Review: Red Tide Algae Classification Using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.105-109, January-2019, Available :http://www.jetir.org/papers/JETIR1901515.pdf

"A Review: Red Tide Algae Classification Using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp105-109, January-2019, Available at : http://www.jetir.org/papers/JETIR1901515.pdf