Application of Machine Vision Technology in Citrus Production
Round 1
Reviewer 1 Report
1. "so on" must be removed in Abstract S.
2. Put ", and" before "etc" in Introduction S.
3. Fig. 1 must be explained in the text.
4. The caption of Fig. 3 must be improved to show deep learning method.
5. A comparasion must be presented to compare traditional, deep learning, and hyperspectral imaging systems.
6. Near infrared reflectance spectroscopy is not an imaging method!
7. The paper structure must be improved. Grading section must be changed and devided to different sections as Defect detection, ripeness detection, and so on. Harvesting section must be moved to before Existing problems and Prospect section.
8. Conclusion section must be improved by presenting final results.
The English is good but some punctuations are required.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 2 Report
in my opinion this paper essentially refers to the state of the art without introducing any innovations useful for scientific progress. However, it is an interesting work, even if it can almost be characterized as a popular publication rather than a scientific one
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Dear Author,
I have gone through the paper and put my comments in the attached file. Please go through the same.General Comments.
Title: Title should be as, ‘Application of machine vision technology in Citrus production’
Abstract: The present form is alright.
Text:
1. In the aberration in some place it is missing.
2. The 2.1 section must be more coincided form of Pest and disease identification based on RGB image on fruit or can it be done for other part of plant
3. Future Prospect part must be re-casted.
4. Conclusion comment I have given the writ-up.
5. Inclusion of some data (table or figure form) from the reviewed papers will improve the quality of the paper.
RegardsComments for author File: Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Accept
Reviewer 3 Report
I am through, Please accept in the present form.