A REVIEW PAPER ON PLANT DISEASE DETECTION USING IMAGE PROCESSING AND NEURAL NETWORK APPROACH
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 4)Publication Date: 2016-04-30
Authors : Jasmeet Kaur; Dr.Raman Chadha; Shvani Thakur; Er.Ramanpreet Kaur;
Page : 758-763
Keywords : : Image Processing; Neural Networks; Classification; Diseas e Detection; Feature Extraction;
Abstract
The main purpose of this paper provides a survey on different pl ant 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 Artificia l Neural Network (ANN), Back Propagation (BP) Network, Support Vector Machine (SVM) and Radial Basi s Function (RBF) Neural Network .
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Last modified: 2016-04-26 22:30:49