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@article{168156,
        author = {Mrs.suje and Mrs.suje},
        title = {AI Based Fruit and Vegetable Quality Detection Using Image Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2408-2413},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168156},
        abstract = {Fruit production in India amounts to 44.04 million tons per year. This creates an enormous opportunity for fruit grading for quality inspection testing from farm to consumer dispatch. A fruit's size, volume, and level of hydration must all be considered while grading it. For fruit grading, spectroscopic techniques are used with a variety of sensors, mostly based on the optical properties at near-Infrared levels. For in-house examination, fruits stored in stock houses and piles require more advanced robotic manipulators. Algorithms for grading and image processing techniques use the sensor or inline camera readings as input. Neural network and fuzzy-based classifiers are just a couple of examples of these. The techniques and procedures employed are covered in this review.},
        keywords = {IoT(Internet of Things), ESP32 C3, Methane Gas Sensor (MQ-4), Embedded System, Machine Learning (ML).},
        month = {November},
        }