Plant Disease Detection using VGG16
A novel plant disease detection technique based on deep learning is proposed in this work and significantly detect diseases and achieves an accuracy of respectively.
Abstract
: Plant disease detection is very important for healthy growth of plants. Plants play an important role in every living orgnisams life. Their by-products not only provide livehood to human beings but also contribute to a country’s economy. Diseases have negative impact on both agricultural crop yield and health. Thus, it becomes important to monitor plants for any kind of diseases and take diagnostic actions according to reuirements. Disease detection can be done using machine learning algorithms. A novel plant disease detection technique based on deep learning is proposed in this work. VGG16 architecture is used for disease detection in tomato and potato plant species. This multi-class disease detection system significantly detect diseases and achieves an accuracy of respectively.