Monitoring plant development by image processing method with fixed and moving artificial light and determining the number of luminaires

Food production-supply problems arising due to the increasing world population and global warming are becoming more evident day by day. The decrease in clean water resources around the world and the decrease in water resources used in plant irrigation threaten humanity, living things, nature and the lives of future generations more and more every day. For this reason, it is of great importance to use arable land and water, which are necessary for sustainable agriculture, in the coming years. For this purpose, this thesis study has been prepared for better use of the existing growing conditions. In this study, the development and automation of artificial light systems, which are used in indoor growing processes to shorten plant development times and increase product quality, were examined. Artificial light systems used indoors are fixed and provide light only to the plants in the affected area. Therefore, it is necessary to install a large number of fixed fixtures to cover the entire area. This increases the installation costs considerably. Production costs need to be reduced for modern and sustainable agriculture. For this reason, moving artificial light systems have been proposed instead of existing fixed systems in this study. In the study, two different hydroponic growing systems, one with fixed artificial light and the other with active artificial light, were established and experiments were carried out with basil plant at different movement speeds. Image processing techniques were used to detect plant growth.