DefinePK

Abstract

Plant diseases affect the development of every species, henceforth early location is basic. Many AI (ML) models have been utilized to recognize and arrange plant ailments, yet advancements in profound learning (DL), a subset of ML; have worked on the precision of this field of research. It seems promising. To detect and classify plant disease symptoms, various types of DL architectures are developed/modified, as well as different imaging techniques used. In addition, these architectures/techniques are evaluated using different performance criteria. This study gives an exhaustive portrayal of the DL models that are utilized to describe various plant diseases. In addition, several research gaps are highlighted, whereby better transparency can be achieved for the identification of plant diseases, even before the onset of symptoms.