MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641021715 A) filed by Sri Sairam Institute Of Technology; Vivekanandan G; Prabahar Godwin James T; Pathmanaban J; Hema Kumar P P; Raghul Srinivas Pappuraj; and John Joel J, Chennai, Tamil Nadu, on Feb. 24, for 'stored grains and pest monitoring system using iot.'
Inventor(s) include Vivekanandan G; Prabahar Godwin James T; Pathmanaban J; Hema Kumar P P; Raghul Srinivas Pappuraj; and John Joel J.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an Internet of Things based Stored Grains and Pest Monitoring System designed to reduce post-harvest losses and improve the overall efficiency, safety and reliability of grain storage operations. The system enables continuous, automated and real-time monitoring of critical environmental parameters within grain storage facilities, including temperature, relative humidity, moisture content and gas concentrations indicative of spoilage or fermentation. These parameters play a vital role in maintaining grain quality and preventing deterioration during long-term storage. In addition to environmental monitoring the system incorporates advanced pest detection mechanisms using motion sensors and image processing techniques to identify early signs of insect or rodent infestation. Captured sensor readings and image data are processed by an embedded microcontroller and securely transmitted to a cloud based platform for real time analysis, historical data storage, trend visualization and decision support. Intelligent threshold based and analytical algorithms are employed to detect abnormal conditions and assess potential risks to stored grains. Upon detection of unfavorable storage conditions or pest activity the system automatically I * generates timely alerts and notifications to authorized users through mobile applications or web based dashboards, enabling rapid intervention and corrective measures. This proactive and predictive monitoring approach helps prevent grain spoilage, maintains nutritional quality and significantly reduces economic losses associated with post-harvest damage."
Disclaimer: Curated by HT Syndication.
