Building a Smart Agricultural Product Classification System with Security Mechanism Using 5G Network

Many countries worldwide aim to proactively conduct digital transformation in conventional industries as these businesses require a massive workforce to classify, inspect, and package, causing high costs. Moreover, manual approaches might lead to defective products due to human errors and productivity limits. This article develops an Internet of Things (IoT) system with an edge computing function to detect agricultural products' quality and classify them. The proposed system in this research detects the luster, weight, and appearance of agricultural products to judge the quality; hence, the equipment needs sensors and a camera that connects to the Artificial Intelligence (AI) module. The features of our research are as follows: 1. The system analyzes agricultural products' appearance, luster, and weight; when the equipment detects an object, the AI module will be activated to analyze the item; 2. The edge computing function in the system allows it to pass the task to the next step directly after the IoT development board completes the process without centralized operations on a server; 3. The 5G network used in this study ensures data transmission and reduces unnecessary circuits between devices; 4. The network safety mechanism built into the system also protects data transmission security. Additionally, this study creates a small-scale conveyor to experiment with the design and test the system's practical feasibility.