Crop Disease Recognition using Deep Learning

Abstract

Bangladesh is an agricultural country. Agriculture is considered to be the backbone of our country. Crops play an important role in our daily routine providing us with nourishments. Because of being environmental condition crops are affected by many serious diseases. After affecting the crops the production and development of crops are totally reduced. Farmers are not able to detect these diseases at an early stage because they don’t have any modern technology to detect the diseases and they don’t take any necessary steps to solve the problem. Artificial Intelligence has become the new leader of data analytics in this technological race. Now there are many technologies play a major role and techniques like Machine Learning, Deep Learning, Computer Vision algorithms, Image processing, Convolutional Neural Network Algorithm. Healthy as well as diseased leaves are captured using cameras from real-time environments. The captured images undergo processes like preprocessing and segmentation. After segmentation, using Machine learning algorithms in which healthy and diseased leaves are detected. This system helps to reduce the difficulties faced by the farmers during crop cultivation which helps in increasing the crop yield. This study aims to reduce the physical and mental harassment of farmers. Our proposed model has achieved fairly high Accuracy.