Automatic Identification of Plant Physiological Disorders in Plant Factory Crops

Abstract

Plant factories are attracting worldwide attention as a technology for stably producing crops. One of the problems of plant factories is tipburn, which is a physiological disorder of crops. If tipburn occurs, its identification is done by eye observation and tipburn leaves are trimmed by hand, which requires much labor and cost. In this study, we aim to perform binary discrimination of tipburn occurrence and its non-occurrence in lettuce cultivated at artificial light plant factories using machine learning with convolutional neural networks. As a result of experiments, it is confirmed that binary discrimination can be performed with high accuracy.