Grapes Leaf Disease Detection Using Convolutional Neural Network


  • Gopal Ghosh, Sujata Chakravarty


Grapes production is the most vital grown Fruit crop in India. Due to leaf diseases the productivity is decreased by various types of diseases on fruit. It is mainly caused by fungi, bacteria etc. It reduces the limit fruit production and to control the increased disease without accurate disease diagnosis, and proper action to control at appropriate time. Image Processing is one of the essential techniques for leaf disease detection. In this paper is to vary in leaf detection of grapes using CNN Classification technique. To start with first the diseased region is founded by using segmentation. Then both colour and texture features are extracted and resized in pixel and intended. Then finally used the classification technique to detect the disease leaf. The system can successfully classify the disease with accuracy of 98%.




How to Cite

Gopal Ghosh, Sujata Chakravarty. (2020). Grapes Leaf Disease Detection Using Convolutional Neural Network. International Journal of Modern Agriculture, 9(3), 1058-1068. Retrieved from