An optimal design of light-emitting diode (LED) lighting that benefits both the photosynthesis performance for plants and the visional health for human eyes has drawn considerable attention. In the present study, we have developed a multi-color driving algorithm that serves as a liaison between desired spectral power distributions and pulse-width-modulation duty cycles. With the aid of this algorithm, our multi-color plant-growth light sources can optimize correlated-color temperature (CCT) and color rendering index (CRI) such that photosynthetic luminous efficacy of radiation (PLER) is maximized regardless of the number of LEDs and the type of photosynthetic action spectrum (PAS). In order to illustrate the accuracies of the proposed algorithm and the practicalities of our plant-growth light sources, we choose six color LEDs and German PAS for experiments. Finally, our study can help provide a useful guide to improve light qualities in plant factories, in which long-term co-inhabitance of plants and human beings is required.
Analyses of multi-color plant-growth light sources in achieving maximum photosynthesis efficiencies with enhanced color qualities.
Tingzhu Wu,Yue Lin,Lili Zheng,Ziquan Guo,Jianxing Xu,Shijie Liang,Zhuguagn Liu,Yijun Lu,T. Shih,Zhong Chen
Published 2018 in Optics Express
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- Publication year
2018
- Venue
Optics Express
- Publication date
2018-02-19
- Fields of study
Medicine, Computer Science, Engineering, Environmental Science
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- Source metadata
Semantic Scholar, PubMed
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