Auxiliary Dense Layered LeNet Deep Learning based Mango Variety Classification
Author:
Affiliation:
1. Panimalar Engineering College,Department of Computer Science and Engineering,Chennai,Tamilnadu,India
2. Panimalar Engineering College,Department of Artificial Intelligence and Data Science,Chennai,Tamilnadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551148.pdf?arnumber=10551148
Reference16 articles.
1. Automatic Fruit Classification Using Deep Learning for Industrial Applications
2. Fruit classification using computer vision and feedforward neural network
3. A Machine Vision-Based Maturity Prediction System for Sorting of Harvested Mangoes
4. Date fruits classification using texture descriptors and shape-size features
5. Nondestructive detection of chilling injury in cucumber fruit using hyperspectral imaging with feature selection and supervised classification
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