The brown planthopper, a major pest affecting rice crops in Taiwan, particularly during the second cropping season, can cause hopper burn, leading to significant yield losses. This technology aims to address this issue by providing farmers with a timesaving, experience-independent tool for early BPH detection and control. It leverages smartphone cameras to capture rice plant images, which are then analyzed using AI deep learning algorithms to identify BPH characteristics. The technology generates actionable recommendations for effective pest control strategies based on these analyses, forming the foundation of a BPH early warning system.