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Article
Peer-Review Record

Snapshot-Based Multispectral Imaging for Heat Stress Detection in Southern-Type Garlic

Appl. Sci. 2023, 13(14), 8133; https://doi.org/10.3390/app13148133
by Jinhwan Ryu 1, Seunghwan Wi 2 and Hoonsoo Lee 1,*
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2023, 13(14), 8133; https://doi.org/10.3390/app13148133
Submission received: 6 June 2023 / Revised: 28 June 2023 / Accepted: 11 July 2023 / Published: 12 July 2023
(This article belongs to the Section Agricultural Science and Technology)

Round 1

Reviewer 1 Report

1.      The introduction should provide more background information about the significance and impact of heat stress on garlic crops. This will help readers understand the importance of developing a model for detecting heat stress in garlic.·   

2.      The methodology section should include more details about the experimental setup, such as the number of garlic cloves used, the duration of the garlic bulb enlargement period, and any specific conditions or treatments applied during the experiment. This information is essential for replicating the study.

3.      It is unclear how the 38-wavelength spectrum was obtained from the combination of a 16-wavelength image in the Vis region and a 22-wavelength image in the NIR region. Provide a clear explanation or reference to the methodology used for obtaining the spectral data.

4.      The models used for analysis, namely PLS-DA, LS-SVM, DNN, and RP-CNN, need to be described in more detail. Explain the specific algorithms and techniques utilized in each model and how they were applied to the spectral data.

5.      Provide a comprehensive evaluation of the performance metrics used to assess the models. Include information on the specific criteria used to determine the "best performance" of the LS-SVM model. Additionally, discuss the limitations or potential biases of the evaluation process.

6.      The discussion should delve deeper into the reasons behind the superior performance of the LS-SVM model compared to the other models. Explain why the nonlinear nature of the spectral differences caused by abiotic stress in garlic makes the LS-SVM model particularly effective.

7.      Present the results and findings in a more structured manner, using tables or graphs to clearly illustrate and compare the performance of each model. This will make it easier for readers to understand and interpret the results.

8.      Discuss the implications of the study's findings for practical applications in agriculture. How can the use of snapshot-based multispectral imaging benefit farmers in detecting heat stress and managing garlic crops more effectively? Provide specific examples or suggestions.

9.      The conclusion should summarize the key findings of the study and highlight the main contributions or advancements in the field. Additionally, address any limitations or areas for future research that were identified during the study.

 

 

Proofread the article for grammar, punctuation, and clarity issues. Ensure that the writing style is consistent throughout the article.

Author Response

We are sincerely grateful for your thorough consideration and scrutiny of our manuscript, “Multispectral Imaging Model Development for Heat Stress Detection in Southern-Type Garlic”. Through the accurate comments made by the reviewers, we better understand the critical issues in this paper. We have revised the manuscript according to the Reviewer’s suggestions. We hope that our revised manuscript will be considered and accepted for publication in the Applied Sciences. We acknowledge that the scientific and clinical quality of our manuscript was improved by the scrutinizing efforts of the reviewers and editors.

The changes within the revised manuscript were highlighted (underlined and in blue). Point-by-point responses to the reviewers’ comments are provided below.

Author Response File: Author Response.docx

Reviewer 2 Report

This manuscript develops a model for detecting heat stress in southern garlic using a multispectral snapshot camera. After comparing existing models, the LS-SVM model is identified as the best performer for detecting heat stress during the garlic bulb enlargement period. The study confirms the potential of using multispectral imaging for measuring changes in garlic crops caused by high-temperature stress. The work is practical and applicable. However, the following issues still need to be addressed:

 

1.       The manuscript lacks prominent innovation, as there is no explicit mention in the abstract, discussion, and conclusion of the manuscript's outstanding innovative aspects or its novelty in application compared to other methods.

2.       The manuscript uses a multispectral snapshot camera and selects 16 wavelengths in the visible region (462 nm to 624 nm) and 22 wavelengths in the near-infrared region (631 nm to 871 nm) as indicators for studying high-temperature stress in garlic. The manuscript lacks a description of the reasons for selecting these specific wavelength ranges and a comparison with other wavelength ranges.

3.       The discussion section of the manuscript appears to be a repetition of the results section. The discussion should include explanations of the results and consider the advantages and disadvantages of this study, as well as possible reasons for the findings.

 

Based on the above issues, there is room for improvement in the novelty and logical coherence of the manuscript. Some adjustments and enhancements to the content are needed.

Author Response

We are sincerely grateful for your thorough consideration and scrutiny of our manuscript, “Multispectral Imaging Model Development for Heat Stress Detection in Southern-Type Garlic”. Through the accurate comments made by the reviewers, we better understand the critical issues in this paper. We have revised the manuscript according to the Reviewer’s suggestions. We hope that our revised manuscript will be considered and accepted for publication in the Applied Sciences. We acknowledge that the scientific and clinical quality of our manuscript was improved by the scrutinizing efforts of the reviewers and editors.

The changes within the revised manuscript were highlighted (underlined and in blue). Point-by-point responses to the reviewers’ comments are provided below.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The authors have revised the manuscript according to the comments. My recommendations have been accepted in their current form.

Minor editing of English language required

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