Paper Title
Optimal Led Lighting Design for Indoor Farm to Realize Economical Crop Production

Abstract
This paper presents an optimization method to realize economical crop production in indoor farms through LED lighting design. The method considers crop’s light recipe, biomass output, and energy usage. It consists of an optimizer supported by a lighting simulation engine and a biomass machine-learning engine. The lighting simulation engine evaluates the lighting environment for the candidate lighting designs recommended by the optimizer. The biomass machine-learning engine predicts the biomass for the lighting recipes generated by the candidate lighting designs. The optimization procedure evolves by evaluating the candidate lighting designs until an optimal LED lighting design with least energy usage and maximum crop biomass production is achieved. Keywords - Crop production, LED lighting, energy, optimization, machine learning