Groundnut leaf disease detection and classification by using back probagation algorithm

Many studies shows that quality of agricultural products may be reduced from many causes. One of the most important factors contributing to low yield is disease attack. The plant disease such as fungi, bacteria and viruses. The leaf disease completely destroys the quality of the leaf. Common ground nut disease is cercospora. It is one of the type of disease in early stage of ground nut leaf. The upgraded processing pattern comprises of four leading steps. Initially a color renovation constitute intended for the input RGB image is formed, This RGB is converted into HSV because RGB is for Color generation and color descriptor. The next step is plane separation. Next performed the color features. Then using back propagation algorithm detection of leaf disease is done.

[1]  Kuo-Yi Huang.  Application of artificial neural network for detecting Phalaenopsis seedling diseases using color and texture features , 2007 .

[2]  Smita Naikwadi,et al.  ADVANCES IN IMAGE PROCESSING FOR DETECTION OF PLANT DISEASES , 2013 .

[3]  S. Arivazhagan,et al.  Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features , 2013 .

[4]  Tao Yang,et al.  Crop Disease Leaf Image Segmentation Method Based on Color Features , 2007, CCTA.

[5]  Malik Braik,et al.  A framework for detection and classification of plant leaf and stem diseases , 2010, 2010 International Conference on Signal and Image Processing.

[6]  Malik Braik,et al.  Detection and Classification of Leaf Diseases using K-means-based Segmentation and Neural-networks-based Classification , 2011 .

[7]  A. Srikaew,et al.  Grape leaf disease detection from color imagery using hybrid intelligent system , 2008, 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[8]  Malik Braik,et al.  Fast and Accurate Detection and Classification of Plant Diseases , 2011 .

[9]  Viraj A. Gulhane,et al.  Disease Detection On Cotton Leaves by Eigenfeature Regularization and Extraction Technique , 2022 .

[10]  Sushil A. Patil,et al.  Automatic Detection and Classification of Plant Disease through Image Processing , 2013 .

[11]  S. Ananthi,et al.  DETECTION AND CLASSIFICATION OF PLANT LEAF DISEASES , 2012 .

[12]  Jayamala K. Patil,et al.  Advances in Image Processing for Detection of Plant Disease , 2017 .

[13]  V. D. Mytri,et al.  A Prediction Model for Population Dynamics of Cotton Pest (Thrips tabaci Linde) using Multilayer-Perceptron Neural Network , 2013 .

[14]  Sanjay B. Dhaygude,et al.  Agricultural plant Leaf Disease DetectionUsing Image Processing , 2013 .