Comparison of Crop Disease Detection Methods - An intensive analysis

Abstract

Farmers already have a diversified portfolio of crops on their farms. And they're also trying to grow more kinds of crops on their farm. Farmers are often responsible for enormous losses because they do not anticipate crop diseases at an early stage. This kind of 'experimental farming' mentality. Learning from past experience has been more costly for them. Therefore, automatic diseases and diseased sections in the leaf images need to be systemized. Leaves together effects on reduction in crop quantity and quality. In the battle against serious threats, detection of diseases of plant leaves is a crucial function precisely. This survey explores in depth different crop diseases and the detection methods.