Abstract:
"In the farming sector, there is a great need for automated rice crop disease detection and analysis.
It can be used to reduce yield losses, increase treatment effectiveness, prevent the wastage of
money and other resources, and produce healthier agricultural production. An automated method
for correctly identifying and categorizing diseases from a provided image was suggested. In Sri
Lanka and across the globe, paddy plant diseases have gotten very bad. This harms paddy
cultivation by reducing the quantity and quality of paddy. The traditional and historic method of
treating and identifying diseases in paddy plants is based on direct observation. Identification by
eye alone is not a good strategy because it takes time and requires knowledge. And the lack of
professional access is the fundamental cause."
