Machine learning approach for the classification of corn seed using hybrid features-Reference-Cited by-同舟云学术

Machine learning approach for the classification of corn seed using hybrid features

Published:2020-01-01 Issue:1 Volume:23 Page:1110-1124
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Ali Aqib¹^ORCID,Qadri Salman¹^ORCID,Mashwani Wali Khan²^ORCID,Brahim Belhaouari Samir³^ORCID,Naeem Samreen¹,Rafique Sidra⁴,Jamal Farrukh⁵^ORCID,Chesneau Christophe⁶^ORCID,Anam Sania⁷

Affiliation:

1. Department of Computer Science & IT, The Islamia University of Bahawalpur, Bahawalpur, Pakistan

2. Institute of Numerical Sciences, Kohat University of Sciences & Technology, Kohat, Pakistan

3. Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Education City, Qatar Foundation, Doha, Qatar

4. School of Computer Science, National College of Business Administration & Economics, Sub Campus Bahawalpur, Pakistan

5. Department of Statistics, Govt S.A Post Graduate College Dera Nawab Sahib, Bahawalpur, Pakistan

6. Department of Mathematics, Université de, Caen, LMNO, Campus II, Science 3, Caen, France

7. Department of Computer Science, Govt Degree College for Women Ahmadpur East, Bahawalpur, Pakistan

Funder

Center of Excellence in Theoretical and Computational Science

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2020.1778724

Reference33 articles.

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3. Lynch, P. J.; Stangland, G. R.; Holland, G. J. U.S. Patent No. 9,072,266; U.S. Patent and Trademark Office: Washington, DC, 2015.

4. Methods of Combating Seed-Transmitted Virus Diseases

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