A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages-Reference-Cited by-同舟云学术

A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages

Published:2024 Issue: Volume:12 Page:27073-27087
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Naseer Aisha¹^ORCID,Amjad Madiha¹^ORCID,Raza Ali²^ORCID,Munir Kashif¹^ORCID,Samee Nagwan Abdel³^ORCID,Alohali Manal Abdullah⁴^ORCID

Affiliation:

1. Institute of Information Technology, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

2. Institute of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

4. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433135.pdf?arnumber=10433135

Reference41 articles.

1. Conventional vs. nano-micronutrients as foliar fertilization for enhancing the quality and nutritional status of pomegranate fruits

2. Effect of organic and inorganic fertilizers on growth and economics of treatments of pomegranate (Punica granatum L.) under precision farming;Maksudan;Pharma Innov. J.,2023

3. An Overview of the Health Benefits, Extraction Methods and Improving the Properties of Pomegranate

4. Grading of Pomegranate Fruit using CNN

5. Foliar application of fertilizers and plant growth regulators on pomegranate fruit yield and quality: a review

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