Evaluating the visibility of lighting system to prevent the effects of light pollution on rice

Abstract

In agriculture, particularly wet rice cultivation, light pollution caused by exterior illumination at night interferes with dark periods and results in delayed flowering (heading). However, we found that by selecting the wavelength of light sources to which rice is exposed and controlling the luminescence, it is possible to bring the time of heading closer to that of a control plot (total darkness). In this study, visibility of artificial illumination using mixed LED (blue, green, yellow-green) was evaluated by comparing it with green LED and white LED illumination. We evaluated five items in this experiment: pedestrian behavior, facial recognition, color recognition, peripheral visual field, and impression. We found that the evaluation for 'color recognition' and 'impression' were lower for mixed LED than for white LED illumination. Therefore, it is suggested that mixed LED illumination needs to improve in these items.