An Efficient Method for Seeds Classification and Quality Testing Using Fast R-CNN

Author:

Ashwini S.1,Rao B. Srinivasa2,Shirgire Anil3,Kannan K. R.4,Kumar T Ch Anil5,Sivashankar G.6

Affiliation:

1. School of Computing, SRM Institute of Science and Technology,Department of Computing Technologies,Chennai,India

2. Gokaraju Rangaraju Institute of Engineering and Technology,Department of Computer Science and Engineering,Hyderabad,Telangana,India

3. Dr D Y Patil Institute of Technology,Pune,Maharashtra,India

4. Hindusthan Institute of Technology,Department of ECE,Coimbatore,Tamilnadu,India

5. Vignan's Foundation for Science Technology and Research,Department of Mechanical Engineering,Guntur,Andhra Pradesh,India

6. SRM University,Department of Computational Intelligence,Chennai,Tamilnadu,India

Publisher

IEEE

Reference25 articles.

1. Image-to-image translation with GAN for synthetic data augmentation in plant disease datasets;nazki;Smart Media Journal,2018

2. A survey on generative adversarial networks for imbalance problems in computer vision tasks

3. X-ray CT image analysis for morphology of muskmelon seed in relation to germination

4. Large scale GaN training for high fidelity natural image synthesis;brock;7th Int Conf Learn Represent ICLR 2019,0

5. International Conference on Recent Trends in Physics 2016 (ICRTP2016)

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