MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075235 A) filed by Dr. Duragdevi P; and Dr. K. Madheswari on June 17, 2026, for Iot-Based Precision Agriculture Framework With Deep Learning-Enabled Pest Recognition And Intelligent Pest Control Mechanism.
Inventors include Dr. Duragdevi P; and Dr. K. Madheswari.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present system discloses an IoT-Based Precision Agriculture Framework with Deep Learning-Enabled Pest Recognition and Intelligent Pest Control Mechanism. The proposed framework, termed Smart Pest Intelligence Framework (SPIF), operates according to an Adaptive Pest Recognition and Control Method (APRCM) utilizing a Deep Learning Assisted IoT Pest Management Technique (DL-IoTPMT). The system integrates IoT sensors, smart imaging devices, deep learning-based pest recognition, pest severity assessment, outbreak prediction, and automated pest control within a unified architecture. Environmental data and crop images are continuously collected through IoT-enabled monitoring devices and analyzed using CNN, YOLO, EfficientNet, and Vision Transformer models for accurate pest identification and localization. Machine learning algorithms predict future pest outbreaks using environmental and historical agricultural data. Based on infestation severity, intelligent control mechanisms activate precision pesticide sprayers, drone-assisted treatment systems, and farmer alert services. The invention enhances crop protection, reduces pesticide consumption, improves agricultural productivity, and supports sustainable precision farming practices.
Disclaimer: Curated by HT Syndication.
