This technology aims to mitigate challenges within the broccoli industry, such as concentrated harvest seasons, high susceptibility to environmental fluctuations, and elevated mechanized production costs. By integrating crop physiology data, environmental parameters, and product specification management, coupled with AIoT and UAV-based spectral vegetation index analysis, an intelligent broccoli cultivation management module has been developed. Preliminary results indicate that this module achieves a prediction accuracy for broccoli flowering and harvesting periods within ±4 days, respectively. Moreover, yield prediction accuracy reaches an impressive 94%.