Publication

Abstract : Paddy is one of the focal farming produces in India. But, various diseases on paddy crop are decreasing the amount of production and its eminence. The early exposure of diseases on paddy crop will help in preventing severe crop loss and also severe spread of the diseases. Recently, drones technologies have been used in agriculture with the camera and sensors for monitoring and collecting the information regarding crops. Most recent advancements in the field of deep learning techniques helps in detecting and diagnosing diseases in crops with the help of images which were taken using a high digital camera for identifying and distinguishing numerous categories of crop diseases. This paper offers a proficient elucidation for identifying various paddy crop diseases. The system was designed in a way that it can help to identify and distinguish several diseases of paddy crop. The designed system accomplished the deep learning models to identify and distinguish various diseases in paddy crop. The deep learning model has attained a precision amount of 93.65% and the system was able to catalogue 94% precision in identifying and recognizing the variety of diseases by which the crop was infested. © 2020 Ecological Society of India. All rights reserved.