PONE-D-24-31212Hyperspectral Technology and Machine Learning Models to Estimate the Fruit Quality Parameters of Mango and Strawberry CropsPLOS ONE

Dear Dr. Elbeltagi,

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Sajid Ali

Academic Editor

PLOS ONE

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Reviewers' comments:

Reviewer's Responses to Questions

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

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

Reviewer #1: Yes

Reviewer #2: Yes

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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: No

Reviewer #2: 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: No

Reviewer #2: 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: 1- Introduction suffers from lack of motivations and innovations. It should be expanded to include a more detailed discussion of current problems. Use the following articles to improve the introduction section and other sections:

https://doi.org/10.1016/j.chemolab.2022.104650

https://doi.org/10.1016/j.jafr.2023.100931

https://doi.org/10.1016/j.ecoinf.2022.101829

2- What is the difference between evaluation of fruit ripening level using conventional image processing and hyperspectral technology?

3- A section on network training should be included which details on the parameters (e.g., learning rate, number of iterations, batch size, momentum etc.) used for training algorithms (what filter size?). what is the architecture of algorithms? Such information would increase the quality of manuscript and also provides a way for re-implementation by others.

4- Actual views of the equipment used and all samples should be provided in the manuscript.

5- Results and Discussion; author should compare the finding of present study with previous study and justify for more clarity.

6- The captions of some figures and tables are not descriptive enough.

7- The technical discussion is insufficient, requiring a more thorough analysis and interpretation of results to substantiate the scientific merit of the study.

8- Author should add separate section regarding future outlook and specific comment point wise based on their study.

9- Limitations of the study should be included and discussed.

Reviewer #2: The manuscript is interesting providing a suitable method to evaluate the fruit ripening. The manuscript is well-designed and will-written. only some minor comments are there in the attached manuscript need to be addressed before acceptance in order to improve the manuscript for publication

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Reviewer #1: No

Reviewer #2: No

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Attachments

Attachment

Submitted filename: PONE-D-24-31212_reviewer.pdf

Hyperspectral Technology and Machine Learning Models to Estimate the Fruit Quality Parameters of Mango and Strawberry Crops

PONE-D-24-31212R1

Dear Dr. Salem,

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,

Sajid Ali

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 #1: All comments have been addressed

Reviewer #2: 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 #1: Yes

Reviewer #2: Yes

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

Reviewer #1: Yes

Reviewer #2: Yes

**********

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 #1: Yes

Reviewer #2: 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 #1: Yes

Reviewer #2: 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 #1: The authors have significantly improved the quality of the manuscript and the presentation of results. They have satisfactorily attended to all the reviewer's comments. Hence the manuscript can be accepted.

Reviewer #2: The author responded to all comments. the manuscript can be accepted if there is no negative comments from other reviewers

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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 #1: No

Reviewer #2: No

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