MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048467 A) filed by Srm Institute Of Science And Technology, Ramapuram Campus; and Easwari Engineering College, Chennai, Tamil Nadu, on April 16, for 'cnn-based classification and geospatial mapping of red tide algal blooms.'
Inventor(s) include Dr. R. Kiruthigha; Shanen Mithra Arunkumar; and G Sanmaya.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Red tide algal blooms pose a serious threat to marine ecosystems, aquatic biodiversity, and coastal economies, with their increasing frequency causing significant ecological disruption and economic losses. Existing monitoring systems are often fragmented, lack real-time integration, and provide limited early warning capabilities. To address these challenges, this project proposes an intelligent and unified red tide monitoring system that integrates deep learning, environmental data analysis, and geospatial visualization. Convolutional Neural Network (CNN) models optimized using the ADAM optimizer are employed to accurately classify harmful algal species from image data. Environmental parameters such as water temperature, pH, and salinity are analyzed to assess bloom-favorable conditions and predict bloom risk levels. Geospatial visualization using Graph Convolutional Networks (GCNs), map and water quality APIs enables clear identification of affected and high-risk regions. Additionally, user-reported bloom observations enhance real-time monitoring and timely response. The system provides actionable mitigation strategies to support effective bloom prevention, coastal management, and environmental sustainability."
Disclaimer: Curated by HT Syndication.
