A blockchain-based data authentication and proof-recording methodology for digital identification, traceability, and tokenization systems in the agriculture, food, and asset sectors, based on data reliability assessment using artificial intelligence, IoT, and quantum technology.

Abstract

The invention relates to a method and system for authenticating agricultural data based on artificial intelligence, the Internet of Things, and blockchain. The system receives data from multiple sources including sensors, field images, geographic location, and operational data; performs noise filtering using a Kalman filter and integrates sensor data to increase data stability. Image data is analyzed using an AI model to detect diseases, pests, and growth status. AI calculates a confidence score. The system only allows data that meets a defined confidence threshold to be recorded on the blockchain via a smart contract. The invention also integrates a post-quantum digital signature mechanism, dual-chain on-chain / off-chain storage, and tokenization of real assets for traceability and data authentication.

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