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Article
Peer-Review Record

Jasmine Flower Color Degradation User-Coded Computer Vision Image Analysis Tool and Kinetics Modeling

AgriEngineering 2025, 7(6), 193; https://doi.org/10.3390/agriengineering7060193
by Humeera Tazeen 1, Astina Joice 1, Talha Tufaique 1, C. Igathinathane 1,*, Ademola Ajayi-Banji 1, Zhao Zhang 2, Craig W. Whippo 3, Drew A. Scott 3, John R. Hendrickson 3, David W. Archer 3, Lestero O. Pordesimo 4 and Shahab Sokhansanj 5
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
AgriEngineering 2025, 7(6), 193; https://doi.org/10.3390/agriengineering7060193
Submission received: 29 April 2025 / Revised: 30 May 2025 / Accepted: 12 June 2025 / Published: 16 June 2025

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The manuscript titled "Jasmine Flowers Color Degradation User-Coded Computer Vision Image Analysis Tool and Kinetics Modeling" presents the development of an ImageJ plugin aimed at quantifying the color degradation of jasmine petals and calyxes in order to evaluate flowering stages and enhance the application value of jasmine flowers. The topic holds practical significance and theoretical value. However, there are several areas that require further improvement:

  1. The manuscript currently lists a large number of keywords. It is recommended that the authors streamline them by retaining only the most relevant professional terms that best reflect the core content of the manuscript to enhance its academic precision.
  2. Chapter 1 mainly describes the basic characteristics and significance of jasmine flowers and analyzes various factors affecting their shelf life. However, it lacks a review and discussion of previous research in this field. It is suggested to add a section summarizing the current state of related research and identifying existing gaps, thereby highlighting the innovation and advantages of the proposed method.
  3. In Section 2.3, which discusses the creation of sub-sample images, it is recommended to include some examples of the generated sub-sample images to improve the readability and intuitiveness of the section.
  4. Chapter 2 lacks an introduction to the various kinetic models used in this study. It is advised to supplement this part with an explanation of how the proposed method differs from and improves upon existing models. Where necessary, relevant schematic diagrams should be included to enhance clarity and readability.
  5. In Chapter 3, it is recommended to provide a detailed explanation of the evaluation metrics used for comparing model performance to strengthen the discussion and improve the completeness and readability of the chapter.
  6. It is suggested to include visualizations in the manuscript to more intuitively present the comparative results of the kinetic models and emphasize the superiority of the proposed method.

Author Response

All three reviewers' comments and suggestions were addressed, and it is presented in the attached "Responses-To-Reviewer-Comments.pdf" combined document. 

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

1.Line 122-123:Formulas should be numbered.

2.Line 125:Please provide the company and production location information of the camera.

3.Line 133-137:The font format is inconsistent. Please verify.

4.The title of each subgraph in Figure 4 should be placed below, consistent with the format of Figure 1.

5.The formulas in Table 1 should have references.

6.Line 312: “ [22], [23], [24]” should be “[22-24]”.

7.It is suggested that the conclusion part be rewritten. Just provide the main conclusion.

Author Response

All three reviewers' comments and suggestions were addressed, and it is presented in the attached "Responses-To-Reviewer-Comments.pdf" combined document. 

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

In this paper, the authors present a computer vision approach using an ImageJ plugin to quantify color degradation in jasmine flowers postharvest. I believe the study has significant shortcomings, which I discuss below:

For a study where color is fundamental, the experimental setup is poorly described. Key details such as the lighting conditions and image acquisition parameters are missing, which are critical aspects in any color measurement methodology.

I disagree with the claim that the proposed degradation model can be considered useful for prediction, given that the key factors driving degradation were not measured. The data appear to have been collected under controlled conditions without assessing external variables, which means the model is likely biased and only applicable within the specific context of this experiment.

Finally, the information or dataset used is not clearly identified, which could introduce another source of bias due to the existence of different subspecies and the potential variation among them.

I believe the study presents a solid underlying idea; however, the experiment lacks repeatability and the scientific rigor necessary to consider it reproducible or useful for generalizing the problem addressed.

Author Response

All three reviewers' comments and suggestions were addressed, and it is presented in the attached "Responses-To-Reviewer-Comments.pdf" combined document. 

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

accept

Reviewer 3 Report

Comments and Suggestions for Authors

Although corrections were made, it is clear that the study represents a preliminary approach and should not yet be considered conclusive. Nevertheless, the adjustments were substantial and considerably enhance the overall presentation of the manuscript.

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