MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641043353 A) filed by Rmk Engineering College on April 05, 2026, for A Blockchain-Enabled Crop Insurance Claim Verification System Using Multi-Spectral Image Processing And Ai-Based Damage Quantification Engine.
Inventors include R. Devi; B. Mythili; Dr. G. Manikandan; Dr. B. Muthazhagan; E. Sathesh Abraham Leo; E. Thenmozhi; and B. Saratha.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to a blockchain-enabled crop insurance claim verification system that integrates multi-spectral drone imaging, artificial intelligence based crop damage quantification, and blockchain technology to provide a secure, transparent, and automated agricultural insurance claim management framework. The system is designed to improve the accuracy and efficiency of crop damage assessment and reduce delays and fraud in insurance claim verification. In the proposed system, a multi-spectral drone is deployed over agricultural fields to capture high-resolution images across multiple spectral bands for monitoring crop health, vegetation patterns, and environmental stress conditions. The captured multi-spectral images are converted into standard RGB image formats and processed through an image preprocessing module which performs operations such as noise removal, image normalization, enhancement, and geometric correction to produce standardized processed images suitable for analysis. The processed images are then provided to an artificial intelligence based crop damage quantification engine that extracts relevant crop features including vegetation indices, spectral characteristics, and spatial crop distribution patterns. These features are analyzed using a deep learning model trained to identify variations in crop health and detect potential damage caused by environmental factors such as drought, flood, pest infestation, or extreme weather conditions. The deep learning model generates a crop damage assessment value representing the extent and severity of crop loss within the monitored agricultural field. The generated damage assessment is used to validate crop insurance claims submitted by farmers through a digital claim submission interface. The claim data and damage assessment results are transmitted to a blockchain network where a smart contract module automatically verifies the claim based on predefined insurance policy conditions. Once the claim satisfies the required thresholds, the validated claim transaction is securely recorded in an immutable blockchain ledger, ensuring tamper-resistant storage and transparent traceability of claim records. The proposed system therefore enables reliable crop damage estimation, automated insurance claim verification, and secure data management, thereby improving the efficiency and trustworthiness of agricultural insurance systems. Keywords Blockchain Technology , Crop Insurance , Multi-Spectral Drone Imaging , Artificial Intelligence , Deep Learning , Crop Damage Assessment , Smart Contracts , Agricultural Monitoring
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