MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070820 A) filed by Shiva Shankar J; Ch. Sreedhar; Arroju Vijetha; Boggarapu Sushmitha; M Swathi Sree; M. Thejaswee Reddy; N. Raga Chandrika; and Dr. M. Sowmya on June 07, 2026, for Cloud-Connected Iot Smart Agriculture Monitoring System With Automated Irrigation And Pest Detection.
Inventors include Shiva Shankar J; Ch. Sreedhar; Arroju Vijetha; Boggarapu Sushmitha; M Swathi Sree; M. Thejaswee Reddy; N. Raga Chandrika; and Dr. M. Sowmya.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT OF THE INVENTION: The present invention discloses a Cloud-Connected IoT Smart Agriculture Monitoring System with Automated Irrigation and Pest Detection. The system integrates a network of IoT sensors for monitoring soil moisture, temperature, humidity, pH, ambient conditions, and visual data from cameras. Data is transmitted to a cloud platform where advanced machine learning algorithms analyze it for predictive insights, pest identification, and optimal resource allocation. Automated irrigation is achieved through solenoid valves and drip systems controlled intelligently based on real-time soil and weather data, significantly reducing water consumption. Pest detection employs computer vision techniques (CNN models) to identify insects and diseases early, enabling targeted interventions and minimizing chemical usage. The system features a user-friendly dashboard and mobile application for remote monitoring, alerts, and control. Key advantages include improved crop yield, resource efficiency, sustainability, and scalability. The invention overcomes limitations of conventional farming and prior IoT solutions by providing an integrated, AI-driven, hybrid cloud-edge architecture suitable for diverse agro-climatic zones. It supports data-driven decision-making, reduces labor dependency, and promotes precision agriculture. Embodiments include hardware configurations, software algorithms, and deployment methodologies.
Disclaimer: Curated by HT Syndication.
