Journal of Agricultural Science and Food Research
Open Access

Department of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India

Publications

• Research   
  Plant Disease Detection using Advanced Convolutional Neural Networks with Region of Interest Awareness
  Author(s): T Vijaykanth Reddy* and K Sashi Rekha
  
  The advent of deep learning has paved way for more efficient computer vision applications. In agricultural crop monitoring 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 detecting 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 Region Of Interest (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 define.. View More»
  DOI: 10.35248/2161-1025.22.13.506

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