Efficient Disease Detection of Paddy Crop using CNN

Agriculture plays a very vital role in every individual life. Without food there exists no life in this world. For that to happen, proper yield of crops is necessary. But these days getting proper yield of crops is a tough task as they are affected with some diseases during their growth and sometimes it remains unnoticed by the farmer and this in turn results in the un-proper yield of crops. This paper focuses upon detection of such diseases which occur on a paddy crop using the concept of artificial intelligence and CNN. The diseases encountered by a paddy crop is stored in the database i.e., raspberry pi and when the farmer clicks the photo of the crop, the pi analyzes that picture and compares with the database pictures using the concepts of convolutional neural network and artificial intelligence and thus depicts the output whether the crop is affected with a particular or not and thus finally alerts the farmer about the disease.