A REVIEW PAPER ON PLANT DISEASE DETECTION USING IMAGE PROCESSING AND NEURAL NETWORK APPROACH
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 4
Abstract
The main purpose of this paper provides a survey on different plant disease detection techniques in the area of image processing and their comparison. As we know India is an agricultural country and most of its population depends on agriculture for their living. To make their lives comfortable and easy, it is important to focus in the area of farming with new technologies. By introducing new technologies, crop production can be enhanced to great extent. To overcome the problems related with plant and crop diseases, an automatic plant disease detection technique with the help of image processing and neural network approach can be used. There are many types of diseases found in plants. To detect these diseases there is requirement of different patterns. There are different classifications techniques exist such as Artificial Neural Network (ANN), Back Propagation (BP) Network, Support Vector Machine (SVM) and Radial Basis Function (RBF) Neural Network.
Authors and Affiliations
Jasmeet Kaur
Keywords
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- DOI 10.5281/zenodo.50392
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