文章基本信息

标题：Image-Based Plant Disease Detection with Deep Learning
作者：Ashwin Dhakal ; Prof. Dr. Subarna Shakya
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2018
卷号：61
期号：1
DOI：10.14445/22312803/IJCTT-V61P105
出版社：Seventh Sense Research Group
摘要：Deep Learning becomes the most accurate and precise paradigms for the detection of plant disease. Leaves of Infected crops are collected and labelled according to the disease. Processing of image is performed along with pixelwise operations to enhance the image information. It is followed with feature extraction, segmentation and the classification of patterns of captured leaves in order to identify plant leaf diseases. Four classifier labels are used as Bacterial Spot, Yellow Leaf Curl Virus, Late Blight and Healthy Leaf. The features extracted are fit into the neural network with 20 epochs. Several artificial neural network architectures are implemented with the best performance of 98.59% accuracy in determining the plant disease. This was a great success, demonstrating the feasibility of this approach in the field of Plant Disease Diagnosis and high crop yielding.
关键词：Convolutional neural network; Deeplearning; Plant disease detection; Image processing; Machine learning