MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202621000156 A) filed by Pimpri Chinchwad College Of Engineering; Chitra Chandrashekhar Patgar; and Dr. Swati V. Shinde, Pune, Maharashtra, on Jan. 1, for 'drone-based non-contact ai-enabled system for predictive monitoring of biofloc aquaculture pond water quality.'
Inventor(s) include Chitra Chandrashekhar Patgar; and Dr. Swati V. Shinde.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an aquaculture monitoring system (100) configured for real-time assessment and prediction of pond-water conditions in biofloc environments. The system (100) includes an aerial monitoring platform (102) equipped with non-contact water-quality sensors (104) to measure dissolved oxygen, pH, turbidity, temperature, total dissolved solids, and ammonia-indicative optical parameters across multiple geospatial locations. Measurement data is transmitted to an edge processing unit (106) for filtering, drift correction, anomaly detection, and alert generation. An AI engine (108) comprising a classification model (108A) and a predictive model (108B) classifies pond-health states and forecasts yield, feed requirement, and dissolved-oxygen and ammonia trends. A user interface (110) displays classification results, predictive charts, and alerts, supported by a solar-assisted communication system (112). The invention further encompasses a method (200) including autonomous non-contact data collection (202), preprocessing (206), dual-AI analysis (208A, 208B), and visualization (210) to enable spatially distributed, turbidity-resilient, and proactive aquaculture management."
Disclaimer: Curated by HT Syndication.
