T.Vijaykanth Reddy
Research Scholar, Saveetha School of Engineering Saveetha Institute of Medical and Technical Science, India
Publications
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Research Article
Plant Disease Detection Using Advanced Convolutional Neural Networks with Region of Interest Awareness
Author(s): T.Vijaykanth Reddy* and KSashiRekha
The advent of deep learning has paved way for more efficient computer vision applications. In agricultural crop mon- itoring with technology driven approaches, it is indispensable to have plant disease identification. Recent research reveals that Convolutional Neural Network (CNN) is most suitable deep learning method to process leaf images for de- tecting diseases. As symptoms of leaf disease appear in specific area, considering entire leaf for processing incurs more computational cost and time besides deteriorating performance due to inadequate quality of training. To overcome this problem, we proposed a framework that considers extraction of ROI using deep CNN prior to prediction of pre-trained deep learning models such as VGG13, ResNet34, DenseNet19, AlexNet, Sqeezenet1_1 and Inception_v3. An algorithm named ROI Feature Map Creation (ROI-FMC) is defined to extract ROI for given in.. Read More»