MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075667 A) filed by Malaya Kumar Nath; Vishnu S; D. Marygetsy; Giritharan Ravichandran; Karthick Mookkandi; Kirthika Balamurugan; and Sanghamitra Subhadarsini Dash on June 18, 2026, for Machine Learning-Based Portable Device For Real-Time Biofloc Water Quality Monitoring And Prediction.
Inventors include Malaya Kumar Nath; Vishnu S; D. Marygetsy; Giritharan Ravichandran; Karthick Mookkandi; Kirthika Balamurugan; and Sanghamitra Subhadarsini Dash.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses a machine learning-based portable device (100) for real-time monitoring and prediction of water quality in biofloc aquaculture systems. The device comprises a multi-parameter sensor array module (110) for measuring pH, dissolved oxygen, temperature, turbidity, ammonia nitrogen, and total dissolved solids, a microcontroller unit (120) for signal conditioning and data acquisition, a machine learning processing unit (130) executing a pre-trained model (131) for on- device predictive analysis of water quality degradation, a wireless communication module (140) for remote data transmission and alert notifications, a user interface module (150) with LCD touchscreen display (151) and LED alert indicators (152), a power management unit (160) with rechargeable battery (161) and solar charging (162), and a data storage module (170). The device provides proactive alerts before critical thresholds are breached, enabling timely corrective actions in biofloc aquaculture operations. The entire assembly is housed in a portable waterproof enclosure (180).
Disclaimer: Curated by HT Syndication.
