MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001854 A) filed by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India. Guntur Andhra Pradesh India 25/16,, on Jan. 7, for 'smart agricultural iot system with machine learning for crop health monitoring and management.'
Inventor(s) include Mr. Phanikanth Chintamaneni; and Dr. Subrahmanyam Kodukula.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a Smart Agricultural IoT System for real-time monitoring and management of crop health and farm resources. The system employs a network of distributed IoT sensors to collect environmental and plant health data, which is transmitted via wireless communication to a cloud-based platform. Advanced hybrid machine learning algorithms pre-process, cluster, classify, and predict potential crop stress, diseases, nutrient deficiencies, and pest infestations. Predictions are utilized by an NI Compact RIO controller to optimize irrigation, fertilization, and lighting systems, while integration with a smart grid and solar energy storage ensures energy-efficient operations. The system provides farmers with actionable recommendations through a user-friendly interface, enabling timely interventions, resource optimization, and increased crop yields. By combining IoT technology, machine learning, and renewable energy integration, the invention transforms traditional farming into a precision, data-driven, and sustainable agricultural practice."
Disclaimer: Curated by HT Syndication.
