Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/3674 2018 2018 National Institute of Food Technology Entrepreneurship and Management, Delhi, India Vipin Vipin National Forensic Sciences University, Goa, India Lokesh Chouhan Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India Vipin Tiwari School of Computing Science and Engineering, VIT Bhopal University, Bhopal, India Dheresh Soni Vishwakarma Institute of Information Technology, Pune, India Devika A. Verma Vishwakarma Institute of Information Technology, Pune, India Yashwant Dongre One of the most important sectors for providing for daily human requirements is agriculture. At the same time, digitization has a big impact on a number of businesses, making it simpler to carry out a number of challenging tasks. In order to help the farmer and the consumer, technology and digitization must be adopted. Utilizing technology and routine monitoring, diseases can be identified and eliminated, increasing agricultural output. This paper suggests a system for recognizing and categorizing plant illnesses, initially focused on five separate classes: two fruit classes, one vegetable class, one edible pulse class, and one-grain class. The Plant Village and UCI ML Repository Dataset, which is well known as a freely accessible, accepted standard, and reliable data source, was used for this purpose. Based on them, a CNN model is prepared for analyzing them with an accuracy upto 95.42%. Image segmentation will also play a role in calculating precise amount of infection followingly, a good interface is must to utilize it in a proper way for a user which can be provided in the form of app, a feature that every user requires on daily basis. 2025 2025 253 264 10.54216/FPA.190218 https://www.americaspg.com/articleinfo/3/show/3674