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@article{195808,
        author = {Dr. G. J Sawale and Priyal H. Shah and Harsh P. Kohale and Dipanshu R. Dhawade and Ayush Agarkar and Sanika P. Thakare},
        title = {Fruit Lens: An AI Based Fruit Classification And Dynamic Pricing System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {1899-1905},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195808},
        abstract = {In agricultural markets, it's very important to be able to accurately judge the quality of fruit in order to keep the value of the products, cut down on food waste, and make sure customers are happy. But traditional ways of sorting fruits rely heavily on looking at them by hand, which can take a long time, be wrong, and be based on personal opinion. This study presents Fruit Lens: An AI-Enabled Fruit Classification and Dynamic Pricing System, an advanced framework that employs artificial intelligence and computer vision techniques to automate fruit quality assessment and enable quality-driven pricing. The proposed system employs deep learning and image processing to analyze fruit images and categorize them according to their quality, such as fresh, moderately ripe, or spoiled. Resizing, normalizing, and augmenting images are some of the image preprocessing methods that improve the dataset and the classification model. We use a convolutional neural network (CNN) to automatically find important visual features in pictures of fruit and guess what quality category they belong to. The system uses a dynamic pricing system that changes the prices of goods based on how good the fruit is expected to be. This helps sellers set better prices for fruits and gives customers more information about how the products are doing. The system architecture also includes modules for managing datasets, preprocessing images, classifying fruits, and changing prices on the web-based platform. The Fruit Lens system shows how AI can help people decide how good fruit is and how much to charge for it. By automating classification and letting people set prices based on quality, the system makes the agricultural market more open, helps people manage their products better, and helps people make better decisions.},
        keywords = {Artificial Intelligence, Fruit Classification, Computer Vision, Convolutional Neural Network (CNN), Image Processing, Deep Learning, Dynamic Pricing, Agricultural Technology, Fruit Quality Detection, Smart Agriculture.},
        month = {April},
        }