Deploying Computational Intelligence AI and Visual Quality Optimization Tools In Embedded Image Watermarking to Enhance the Agricultural IoT PAYLOAD Features

Abstract

In this work, we propose an agricultural IoT platform, which helps the farmers and all the stakeholders in the food value chain, such as agribusiness professionals, marketers or even the consumer each at its level of use, to send, authenticate and protect these products from the producer to the final consumer.This solution is composed of a photo camera, QrCode generators, QrCode identification readers to read the content of the QrCode, i.e. details about the agricultural products, and an intelligent object recognition system to ensure that the QrCode is appropriate for the agricultural product being identified. To optimize the data transmission, captured from the recipient in terms of execution time, bandwidth, storage space and energy consumption, the proposed solution deploys SPIHT visual coding [1], Foveal coding [2], artificial intelligence for decision making, CoAP communication protocol [3], ECC security encryption [4] and Watermarking [5]to ensure the security of the QrCode during its transmission.The use of this solution will allow to battle against the fraud and the theft of the property of the agricultural products by sending the photo of the agricultural product and its QrCode with full security and optimizing their sending. time and virtual.