Title:Crop Disease Prediction System


Authors:Aditya Tiwari, Ashwin Nair, Aryan Jaiswal, Amrita Jain, Shruti Lashkari, Vibhore Jain


Published in: Volume 3 Issue 1 Jan June 2026, Page No.325-328


Abstract:Technology has taken over every sector to help mankind have their best work to be helped by it, while in the field of agriculture, there are still many things and problems that a person can reduce to a possible extent by using the growing tech- nology. Our project ’CROP DISEASE PREDICTION SYSTEM’ extends a helping hand as a solution to the most common problem farmers face, namely crop diseases, unawareness of them, not being able to take early action towards it and safeguarding the crop. Addressing this as the central point of our project will extend great support to farmers and gardeners in the early detection of their crop’s illness and will also have a tailor-made solution for the same. Our project is designed with simplicity in mind. The steps for the process will be very easy to perform, and it will go like this. First, the person needs to upload an image of the plant’s affected area, which primarily will be the leaves. Now in the next step, the project’s internal model based on the dataset that we have provided will analyze the image and draw results based on any reference of disease from the dataset. Finally, after calculating the disease, it will show us the symptoms, name of the potential disease and treatment options. Our project is a derivative of machine learning capabilities and based on the traditional CNN model. With a very good scope of expanding further with new learning’s and feed


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