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Original Article

Fruit and Vegetable Image Recognition Using Convolutional Neural Networks

  • Paper ID 979
  • Volume 6, Issue 5
  • Pages 13-18
  • Published Online: September-October 2025
  • 19 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Shaik Mushraf1
  • Dr. Mohd Rafi Ahmed2

1 Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Associate Professor, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.

Article Information

Published Online
September-October 2025
Pages
13-18
Article Type
Original Article
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References

1. A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks,” Advances in Neural Information Processing Systems, vol. 25, pp. 1097–1105, 2012.
2. F. Chollet, “Xception: Deep Learning with Depthwise Separable Convolutions,” in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 1251–1258.
3. J. Redmon and A. Farhadi, “YOLOv3: An Incremental Improvement,” arXiv preprint arXiv:1804.02767, 2018.
4. A. Mureșan and M. Oltean, “Fruit Recognition from Images Using Deep Learning,” Acta Universitatis Sapientiae, Informatica, vol. 10, no. 1, pp. 26–42, 2018.
5. S. Kamilaris and F. X. Prenafeta-Boldú, “Deep learning in agriculture: A survey,” Computers and Electronics in Agriculture, vol. 147, pp. 70–90, Apr. 2018.
6. H. Hasan, R. Abdul Rahman, and M. H. Marhaban, “Classification of fruits using convolutional neural network,” in Proc. IEEE Int. Conf. on Control System, Computing and Engineering (ICCSCE), 2018, pp. 242–247.
7. M. R. Khan et al., “Smart Farming Using Image Processing and Machine Learning,” IEEE Access, vol. 7, pp. 170645–170661, 2019.
8. Y. LeCun, Y. Bengio, and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444, May 2015.
9. K. Simonyan and A. Zisserman, “Very Deep Convolutional Networks for Large-Scale Image Recognition,” arXiv preprint arXiv:1409.1556, 2014.
10. A. Shorten and T. M. Khoshgoftaar, “A survey on image data augmentation for deep learning,” Journal of Big Data, vol. 6, no. 1, pp. 1–48, Jul. 2019.
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