MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641056302 A) filed by Rajalakshmi Engineering College on May 04, 2026, for Edge Intelligence Framework For Adaptive Sensor Fusion And Real-Time Agricultural Stress Detection Using Federated Optimization.
Inventor includes Dr. P. Kumar.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses a Hardware-Assisted Edge Intelligence Framework for adaptive sensor fusion and real-time agricultural stress detection enhanced through federated optimization. Such a system includes geographically scattered edge devices, formed are multispectral imaging sensors, environmental probes, embedded preprocessing circuits, and neural accelerators. The sensor data is subjected to hardware-level enhancement such as noise filtering, exposure correction, and spectral recalibration before being executed by a quantized or pruned neural model on a microcontroller or neural processing unit. Thus, the local detection of stress causes in a low-latency manner is feasible. The stress factors include pests, leaf diseases, nutrient deficiencies, canopy anomalies, etc. Each edge device calculates the localized gradient updates from the buffered feature embeddings and sends only the compressed model updates through the adaptive communication subsystem that supports LoRaWAN, Wi-Fi, 4G, or 5G. A federated learning coordinator aggregates these updates to generate an improved global model which is then redistributed to the edge devices. The system implements a series of technical effects such as the usage of less bandwidth, the sped up inference, the decreased power consumption, and the enhanced resistance to intermittent connectivity. The invention merges sensor hardware, embedded firmware, distributed computing, and multi-protocol communication to accomplish continual field-level intelligence and adaptation without the need to send raw sensor data. This hardware-software co-optimized architecture represents a technical breakthrough in comparison to prior systems and serves as a scalable, energy-efficient platform for agricultural monitoring.
Disclaimer: Curated by HT Syndication.
