PLANT DISEASE DETECTIONANDRECOVERYUSING DEEP LEARNING

  • Vikram R, Madhumitha S , Mohammad Abdullah Basha S , Pavithra S , Sathish S

Abstract

Though farming is drowning these days, many people show great concern in the agriculture field. Due to pests, fungal diseases in the crops, plants, and vegetables, the productivity is greatly affected. To suggest a solution to these problems, disease diagnosis in the crop plants is made via Machine Learning. With the help of image processing, the plant is classified by the disease and the solution is provided. By analyzing the patterns of the affected plant parts, we perform feature extraction and train the model. The affected plant is tested for the disease diagnosis and the solution for those diseases is suggested. Thus without any confusion, this system predicts the disease and provides appropriate recovery information for it.

Published
2020-04-20
How to Cite
Vikram R, Madhumitha S , Mohammad Abdullah Basha S , Pavithra S , Sathish S. (2020). PLANT DISEASE DETECTIONANDRECOVERYUSING DEEP LEARNING. International Journal of Advanced Science and Technology, 29(7s), 1615 - 1622. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/10848