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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
CLASSIFICATION OF AFFECTED FRUITS USING MACHINE LEARNING
Authors
Heena Shaikh, Yashashree Wagh, Siddhesh Shinde, Shankar M. Patil
Keywords
quality, automation, Faster R-CNN, Object detection, TensorFlow
Abstract
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 Faster R-CNN 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.
IJCRT's Publication Details
Unique Identification Number - IJCRT2006202
Paper ID - 195617
Page Number(s) - 1541-1547
Pubished in - Volume 8 | Issue 6 | June 2020
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Heena Shaikh, Yashashree Wagh, Siddhesh Shinde, Shankar M. Patil, "CLASSIFICATION OF AFFECTED FRUITS USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.1541-1547, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006202.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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