MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611022957 A) filed by Panipat Institute Of Engineering And Technology, Samalkha, Haryana, on Feb. 26, for 'autonomous multispectral imaging-based pest recognition system using on-device neural network intelligence.'
Inventor(s) include Prof. Poonam Panwar; and Prof. Satish Kumar.
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 autonomous agricultural pest recognition system that utilizes multispectral imaging and on-device neural network intelligence for real-time detection and recognition of agricultural pests. The system comprises a multispectral imaging module for capturing crop images across visible and non-visible spectral bands, an embedded processing unit equipped with a hardware-based artificial intelligence accelerator for local neural network inference, and a control unit for generating pest detection outputs. The invention enables continuous field-level monitoring, species-level pest identification, and geo-tagged infestation mapping without reliance on cloud-based processing. The system may be deployed as a mobile robotic platform or a stationary monitoring unit and can be integrated with precision pest management mechanisms, thereby improving detection accuracy, reducing manual inspection effort, and supporting timely and targeted crop protection interventions."
Disclaimer: Curated by HT Syndication.
