Comparative Performance of Various Deep Learning based Models in Fruit Image Classification
Author:
Affiliation:
1. Computer Science Department, Bahria University Karachi, Pakistan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3406601.3406619
Reference33 articles.
1. Automatic fruit and vegetable classification from images
2. Automatic Fruit Classification Using Deep Learning for Industrial Applications
3. Rapid classification of Chinese quince (Chaenomeles speciosa Nakai) fruit provenance by near-infrared spectroscopy and multivariate calibration
4. Radi S. Ciptohadijoyo W. S. Litananda M. Rivai and M. H. Purnomo. 2016. Electronic nose based on partition column integrated with gas sensor for fruit identification and classification. Computers and Electronics in Agriculture 121 (Feb. 2016) 429--435. DOI: https://doi.org/10.1016/j.compag.2015.11.013 Radi S. Ciptohadijoyo W. S. Litananda M. Rivai and M. H. Purnomo. 2016. Electronic nose based on partition column integrated with gas sensor for fruit identification and classification. Computers and Electronics in Agriculture 121 (Feb. 2016) 429--435. DOI: https://doi.org/10.1016/j.compag.2015.11.013
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