International Journal of Scientific Research and Engineering Development

Cotton Is An Important Crop In India It Contributes A Major Share In The Agricultural Economy Of India The Productivity Of Cotton Is Affected By Various Diseases These Diseases Can Be Identified Through The Color Of The Cotton Leaves Several Diseases Like Cercospora Bacterial Blight Target Spot Red Spot White Spot And Many Viral Infections Can Lead To Changes In The Color And Texture Of The Cotton Leaves By Examining The Cotton Leaves One Can Easily Detect The Type Of Disease To Take A Measure Just In Time To Save The Productivity Of The Cotton Crop So The Early Detection Of Disease Can Reduce Yield Loss And Help A Farmer To Eliminate Economic Difficulties The Challenge To Detect The Disease Of The Crop Can Be Done By Creating A Web Application Which Gives The Accurate Results Of The Problem This Study Proposes A CNN Based Cotton Leaves Pathology Detection System With Image Augmentation Techniques For Agriculture Monitoring The System Processes The Cotton Leaves Images Taken By The Camera And Predicts The Disease Based On The Color Of The Leaf Image Processing Is Done By Scaling Sizing And Normalization Also With Image Augmentation Techniques This System Extracts The Features Of The Leaves Through CNN And Classifies The Leaves As Either Healthy Or Diseased This System Also Provides Several Options For The Diagnosis Of Diseased Leaves It Recommends Basic Products Which Can Help To Cure The Disease It Is Also Ensured To Use An Application Via Web Pages Making It User Friendly By Detecting The Disease Early And Effective Recommendations Of The Products Can Help To Achieve Product Quality And Yield Growth It Also Aims To Promote Sustainable Cotton Farming Practices.

Dr M.Ayyappa Chakravarthi, D.Sai Gayathri, K.Sravani, K.Sowmya, K.SriLekha,"CNN-Based Cotton Leaf Pathology Detection System with Image Augmentation for Agricultural Disease Monitoring" International Journal of Scientific Research and Engineering Development, V9(2): Page(950-954) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.