-->PONE-D-25-35125-->-->A Robust Cross-Crop Disease Detection Framework Based on SIS-YOLOv11 with Climate-Adaptive Mechanisms-->-->PLOS ONE

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Academic Editor

PLOS ONE

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Reviewers' comments:

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-->Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. -->

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Partly

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-->2. Has the statistical analysis been performed appropriately and rigorously? -->

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: No

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-->3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.-->

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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-->4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.-->

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

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-->5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)-->

Reviewer #1: The manuscript presents a novel cross-crop plant disease detection framework, SIS-YOLOv11, integrating climate-adaptive mechanisms and style randomization to enhance generalization under complex environmental conditions. The work introduces multiple architectural innovations (C3k2-SSI, Fusion-InceptionConv, SPPF-Inception, C2PSA-IS) and employs DepGraph pruning to optimize performance. Experiments on potato and tomato leaf datasets, augmented with simulated haze and rainfall, demonstrate significant improvements in precision, recall, and mAP compared to state-of-the-art models.

Reviewer #2: Dear author,

1. The content in the introduction needs improvement.

2. To enhance the model’s generalization and robustness, the authors introduced and modified the Style Randomization module. However, the role of the parameter K within this module is not explained, even though its effect on model accuracy is discussed later. Based on the paper, can K be considered as the weight for randomizing the original data, with K = 1 yielding the best performance on the original samples? If so, what is the significance of analyzing K in the subsequent discussions?

3. In the pruning experiments, the authors did not specify when the pruning operation was performed—was it done before sparse training or before fine-tuning? After pruning, the model’s parameter count decreased by 3.3M, yet all performance metrics improved. Why did the model’s performance increase despite the reduction in parameters? Please provide clarification in the paper.

4. The Discussion section is brief and lacks sufficient depth. The authors are encouraged to expand this section by providing a more thorough analysis of the experimental results, such as explaining why the model's performance improved after pruning.

Reviewer #3: In this manuscript, a novel enhanced YOLOv11n-based object detection algorithm, named SIS-YOLOv11, is proposed for detecting early and late blight potato and tomato leaves under complex backgrounds. This paper needs further improvement to highlight your contributions. The reviewer has the following comments.

1.To make the paper more readable, the code of the proposed algorithm should be open to the readers. Whether thedatabase can be shared.

2.A serial of improvements are achieved which are given in the abstract and section of Experimental results, how were these data obtained.

3.Why are the figures not formatted into the main body of the paper .

4.What the meaning of SIS, which appears in SIS-YOLO. The abbreviations in YOLO are not given full spelling or explanation.

5.The authors should emphasize th main contributions and innovations of the d paper, instead of simply introducing the used technologies and database. The main contribution of SIS-YOLOv11.

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

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Attachments

Attachment

Submitted filename: Review_Report.docx

A Robust Cross-Crop Disease Detection Framework Based on SIS-YOLOv11 with Climate-Adaptive Mechanisms

PONE-D-25-35125R1

Dear Dr. Qin,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Chetan Keswani, Ph.D.

Academic Editor

PLOS One

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

-->Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.-->

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

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-->2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. -->

Reviewer #2: Yes

Reviewer #3: Yes

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-->3. Has the statistical analysis been performed appropriately and rigorously? -->

Reviewer #2: Yes

Reviewer #3: Yes

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-->4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.-->

Reviewer #2: Yes

Reviewer #3: Yes

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-->5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.-->

Reviewer #2: Yes

Reviewer #3: Yes

**********

-->6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)-->

Reviewer #2: (No Response)

Reviewer #3: The authors have addressed all the comments. The paper is recommended to be accepted after a minor revision.

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-->7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review?  For information about this choice, including consent withdrawal, please see our Privacy Policy.-->

Reviewer #2: No

Reviewer #3: No

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