Authors : R. Sowmya and Shivani Deota
Abstract: Horticulture lighting industry is one of the fastest growing industries which is capable of overcoming the limitations of changing light conditions around the year. Plants need a band of wavelengths which drives photosynthesis and aids growth. The research aims to find an optimal solution for the spectrum matching function. Two algorithms have been discussed for optimal spectral matching. The first optimization algorithm for n-channel LED was simulated, however; validation for the same is needed before going to real time design. In the second method, a database of LED along with curve-fit tool and Gaussian model were used in the simulation. Results indicated a larger database of LEDs will lead to better spectrum match.
R. Sowmya and Shivani Deota, 2019. Spectral Matching Algorithm for Horticulture Application. Journal of Engineering and Applied Sciences, 14: 8519-8522.