Plant Disease Detection Using Deep Learning Model

The need of plant disease detection in early days is getting very crucial with time. The plant diseases affect the growth of the plant and decrease the productivity of the plant. Plant diseases results in significant loss of the cultivated crop. With advancement of deep learning the power to detect the plant disease has significantly increased as compared to machine learning. Many performance matrix are being created to evaluate techniques. Deep learning is a great approach for classification. It quicken the pace, automate the system and increase the accuracy of the image classification. Fast and accurate models in agricultural systema are the need of the hour. The use of deep learning in sector of agriculture faten the pace of agricultural growth with high yielding of crops and good quality of crop. The use of CNN methodology which gives best accuracy with economical equipment played a lead and vital role in enhancement of agricultural sector.