Crop Disease Prediction by Using Machine Learning

Food is a basic need for every living being. With the increasing population, it has become necessary to yield enough amount of crops to satiate their hunger. In the mean while we face a lot of problems while considering the needs of such a huge population. Lots of crops gets destroyed which affects the overall yield of the crops, hence leading to shortage of food. We know that it is very common for plants to get affected by diseases. Some of the factors are fertilizers and pesticides, cultural practices, environmental and surrounding conditions etc. These diseases affect overall yield as well as the economy based on it. Any approach to overcome this problem would help the farmers to cultivate crops efficiently. Hence, detection of disease in crops plays a vital role in agriculture. The proposed manuscript aims for the detection of crop diseases by using classification algorithm in deep learning concept. An automatic technique to detect symptoms of plant diseases would be highly beneficial to the agricultural society as it would eliminate the work of constant monitoring. In this paper, we will propose different disease classification algorithms which can be used for the detection of disease in plant leaves.