Contour Resampling-Based Garlic Clove Bud Orientation Recognition for High-Speed Precision Seeding
Round 1
Reviewer 1 Report
The work has been done in an interesting and very specific field, however, the following headings need revision.
1- It is noted that your manuscript needs careful editing by someone with expertise in technical English editing paying attention to English grammar, spelling, and sentence structure so that the goals and results of the study are clear to the reader.
2- The Introduction is not well organized and does not clearly state which is the main Logic of research questions of the paper. A complete introduction answers the following questions:
* What is the research background?
* What is the issue to be addressed?
* What has been researched related to the issue? (Authors consider the content in the section of literature review, but I suggest authors summarize briefly in the introduction)
* What has remained to be done related to the issue?
* What is the research gap?
* What is the research objective, and why is this objective significant?
* What are the specific research questions?
* How does the paper address the research questions?
* What is the paper's contribution?
3- What is the relationship between ACCURACY and FPS in your results?
4- What is the effect of the labeling approach in solving your problem? be met with other alternatives
5- How can you verify the reliability of your data?
6- Can the difference be confused with an object? For example, how does your method distinguish between the unrelated mouse and garlic?
7- Why use MobileNetV3, Naive CNN Model, and contour resampling-based Fully Connected network methods? what is your motivation?
8- How is the number of the hidden layers adjusted?
9- What did you do about hyperparameters? Did you do the tune operation?
10- Parameters such as F1 score, AUC, and ROC should be included in your results. It also should be compared and discussed in detail with the methods in the literature.
11- It is recommended to include a discussion section or subsection.
12- In conclusion, future studies should also be included.
13- In conclusion, what are the limitations of the paper's methodology?
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
In this study, a high-speed garlic clove bud direction-recognition method based on deep learning is proposed, which outperforms state-of-the-art methods in garlic clove bud orientation recognition, and could meet the needs of high-speed precise seeding. The manuscript in its present form is suitable for publication after some queries and suggestions that are given in the attached file.
Comments for author File: 
Comments.pdf
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
Desired revisions were made at the expected rate. The study is accepted as it is.
