Leaf Disease Detection and Prevention using Deep Learning

Abstract

Crop disease is a major factor in the agriculture sector. To get great quality and quantity of crop, checking on the plant condition is the most important factor. Identifying the problems with a solution at an early stage is very important. So, a deep-learning-based project which it leads to detecting leaf disease is forwarded to the CNN algorithm. The available dataset which contains lots of images based on a different plant to find out the type of disease the plant has and also create a Robot that is capable of spraying the right pesticide on the diseased plant to avoid the further spread of the disease is used. The agenda is to come up with a better yield in the future stages.