Machine learning in plant disease research

Abstract

Plants are constantly exposure to pathogens such as virus, bacteria and fungi. Plant diseases caused by pathogens lead significant crop yield loss globally. Numerous researchers have been studying how to reduce the damage of plant diseases. Some researchers investigated the resistance genes in plants and attempt to enhance plants’ resistance against pathogens. Meanwhile, some other researchers developed identification and scoring system to monitor and predict plant diseases based on leaves images. The purpose of this review is to present the application of machine learning in plant resistance genes discovery and plant diseases classification.