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Fruit Quality Classification using Artificial Intelligence
¹²Students, Dept of CSE, Sambhram Institute of Technology, Bangalore, India. ³Prof & Head, Dept of CSE, Sambhram Institute of Technology, Bangalore, India.
Published Online: March-April 2023
Pages: 616-619
Cite this article
↗ 10.59256/ijire.2023040235
Abstract
View PDFAbstract: Consuming good, healthy and quality fruit is the utmost requirement of the consumer. Hence, automation in food industries is growing in recent times. Because it is impractical for humans to manually inspect the fruits as it requires a large number of labors as well as requires a lot of time and effort. This paper proposes a system which is capable of detecting and classifying the fruits as affected or not based on surface using YOLO-v4 model. As this system is automatic, it cuts down the traditional/manual method of fruit inspection, which takes a lot of time, labor and effort. This system will not only save the cost of labors but will also give a high accuracy.
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