Main Article Content

Yogaraja GSR
Harshitha D A
Bhavani V K
Himabindu N


It is difficult for farmers to observe disease in the naked eye. Different types of plant disease reduce the plant life cycle. The presence of disease in plants can be observed by the symptoms present in the leaf, stem or infection occur in the fruit. Our proposed system gives an effective way for the detection of disease in the plant through the infection occurs in the leaf. The first step in disease detection is capturing cotton leaf disease through the device. In the second step, cotton leaf images are pre-processed through image segmentation. in the third step, RGB components i.e., red, green, and blue are removed from the image of the leaf, then it is converted to an HSV image. In the fourth step, white and black images of the cotton leaf are made; defective parts in the images are indicated by white colour. In the next step, an artificial neural network is trained to distinguish the disease and healthy leaf. By using our proposed system disease can be detected at the early stage with an accuracy of 85%. Disease or infection should be identified at the initial stage otherwise it leads to lossof crops.




Download data is not yet available.

Article Details



Pranita P. Gulve, Sharayu S. Tambe, Madhu A. Pandey, Mrs. S. Kanse, “Leaf Disease Detection of Cotton Plant Using Image Processing Techniqueâ€, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735. PP 50-54 ,2015

Vijay S. Bhong, B.V. Pawar, "Study and Analysis of Cotton Leaf Disease Detection Using Image Processing", International Journal of Advanced Research in Science, Engineering and Technology, ISSN: 2350-0328, Vol. 3, Issue 2, and February 2016.

Zhan, W. Huang and C. zhang, “Tree- Channel Convolutional Neural Networks for Vegetable Leaf Disease Recognition", Cognitive Systems Research, 2018

Nikhil Shah, Sarika Jain, "Detection of disease in the Cotton leaf using Artificial Neural Network", 978-1-5386-9346-9/19/$31.00 ©2019 IEEE

A. jenifa, R. Ramalakshmi, V. Ramachandran,†Classification of cotton leaf Disease using Multi-Support Vector Machineâ€, 978-1-5386-9543-2/19/$31.00 ©2019 IEEE

Shantanu Kumbhar, Amita Nilawar, Shruti Patil, Bodireddy Mahalakshmi, Mansi Nipune, " Farmer Buddy- Web-Based Cotton Leaf Disease Detection Using CNN ", International Journal of Applied Engineering Research ISSN 0973-4562 Volume 14, Number 11 (2019) pp. 2662-2666

P. Revathi, M. Hemalatha,†Classification of Cotton Leaf Spot Diseases Using Image Processing Edge Detection Techniques, 2012 - International Conference on Emerging Trends in Science, Engineering and Technology

Mr. Viraj A. Gulhane, Dr. Ajay A. Gurjar “Detection of Diseases on Cotton Leaves and Its Possible Diagnosis “, International Journal of Image Processing (IJIP), Volume (5): Issue (5): 2011.

Hui Li, Ronghua Ji, Jianhua Zhang, Xue Yuan, Kaiqun Hu, and Lijun Qi" WEB Based intelligent Diagnosis System for Cotton Diseases Control" I FIP Advances in Information and Communication Technology, 2011, Volume 346/2011.

Dheeb Al Bashish, Malik Braik, and Sulieman Bani- “A Framework for Detection and Classification of Plant leaf and stem diseaseâ€.

Ashwinkumar.U.M and Dr. Anandakumar K.R, "Predicting Early Detection of cardiac and Diabetes symptoms using Data mining techniques", International conference on computer Design and Engineering, vol.49, 2012.