科研之友
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摘要
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.
- 出版日期2016
