Design and Implementation of a Cloud-Based LED Lighting Control System for Protected Horticulture

Abstract. Effective extension plant lighting or supplementing of certain spectral wavelengths of light can enhance the growth quality of plants. This article proposes an effective cloud-based light-emitting diode (LED) management system that employs an intelligent LED lighting technique and a plant physiology database to automatically adjust the required light conditions suitable for plant growth, including the light formula, light quality, and light/dark photoperiod. The proposed system can efficiently reduce labor costs and increase the production and quality of plants. Meanwhile, it saves electric energy consumption using a programmable lighting control technique. The results demonstrate the efficiency of the proposed system in a plant factory. Tissue analyses are also performed to assess the growth response of plants under different lighting modes. The proposed cloud-based lighting management system can be applied to greenhouses to achieve standardized plant production and automation in the future.