A Method to Reduce the Incidence of Wheat Leaf Diseases

Numerous studies have delved into the domain of wheat disease prediction, frequently leveraging meticulously curated datasets compiled by researchers. This review comprehensively examines a spectrum of research endeavours, with a primary focus on elucidating classification methodologies and the breadth of disease manifestations analysed. By systematically surveying diverse studies, we scrutinize the approaches employed in interpreting disease patterns and the methodologies employed for data collection, while also addressing their inherent limitations. Through this thorough analysis, we shed light on the intricate facets of wheat disease prediction, providing invaluable insights into the current state of the field and delineating promising avenues for future research and development.