Intermittent Edge Computing for Green Agricultural Automation

In recent years, there has been a notable shift towards automation in agricultural technology. Furthermore, driven by environmental concerns, green energy is gradually replacing conventional power sources. However, green energy sources are vulnerable to external environmental factors, resulting in an unreliable power supply. Such instability can disrupt the functioning of monitoring systems which are critical for agricultural automation, leading to operational issues. To address these challenges, we propose an intermittent edge computing system for agricultural automation. It consists of battery-less intermittent computing devices, wireless intermittent communications, and deep-capable edge computing. Our demo illustrates the process of tomato monitoring including reliable on-device tomato detection and Bluetooth Low Energy (BLE) image data transmission, even in the absence of stable power conditions. Upon receiving the data, we employ edge computing to detect the location, color, and quantity of tomatoes.