Early Leaf Disease Detection Based on Deep Learning Algorithm
Keywords:
Acquisition, Convolutional Neural Networks, Deep Learning, Feature Extraction, Leaf Disease, Neural network classifier, Pesticides, Preprocessing, SegmentationAbstract
Agriculture plays a prominent role in human beings' life. The inappropriate exploitation leads to a loss in agricultural outcomes. Plants and leaves are the major purposes for the quick expansion of crop production. As the fertility of the crop is unhealthy, it has a vital risk of imparting good and healthy nutrition. Due to the better and expansion in automation where devices can recognize and detect plant diseases. Diseases in leaves are challenging for farmers and researchers. Forthwith farmers are scattering pesticides to the plants but its outcome is affecting humans directly or indirectly. To determine these types of leaf diseases many modern procedures need to be acquired. In this paper, we have researched various plant leaf diseases and advanced technologies to discern them. All the categorization was taken based upon the crop's leaf images, which have both the healthy and unhealthy leaf.
