Advancements in Computer Vision for Automated Fruit Quality Inspection: A Focus on Apple Detection and Grading-Reference-Cited by-同舟云学术

Advancements in Computer Vision for Automated Fruit Quality Inspection: A Focus on Apple Detection and Grading

Published:2023-11-23 Issue: Volume:8 Page:1-6
ISSN:
Container-title:2023 9th International Conference on Smart Structures and Systems (ICSSS)
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Author:

Raji V.¹,Rajendran E.²,Balaji V³,Bhayal Dinesh Kumar⁴,Rishikesh N.⁵,Karthikeyan D.⁶

Affiliation:

1. SKP Engineering College,Department of Computer Science and Engineering,Tiruvannamalai,Tamil Nadu,India

2. SKP Engineering College,Department of Electrical and Electronics Engineering,Tiruvannamalai,Tamil Nadu,India

3. MAI-NEFHI College of Engineering and Technology,Faculty of Electrical and Electronics Engineering,Asmara,Eritera

4. Medi-Caps University,Department of Information Technology,Indore,India

5. Bannari Amman Institute of Technology,Department of Electrical and Electronics Engineering,Erode,India

6. SRM Institute of Science and Technology,Department of Electrical and Electronics Engineering,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406300/10406306/10407423.pdf?arnumber=10407423

Reference15 articles.

1. Fruits and vegetables quality evaluation using computer vision: A review

2. Computer vision technology in agricultural automation —A review

3. Identification, classification & grading of fruits using machine learning & computer intelligence: a review

4. A role of computer vision in fruits and vegetables among various horticulture products of agriculture fields: A survey

5. Performance analysis of support vector machine in defective and non defective mangoes classification;Kumari;International Journal of Engineering and Advanced Technology (IJEAT),2019