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Article
Peer-Review Record

Fuzzy Logic Decision Support System to Predict Peaches Marketable Period at Highest Quality

Climate 2022, 10(3), 29; https://doi.org/10.3390/cli10030029
by Bianca Magalhães 1, Pedro Dinis Gaspar 1,2,*, Ana Corceiro 1, Luzolo João 1 and César Bumba 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Climate 2022, 10(3), 29; https://doi.org/10.3390/cli10030029
Submission received: 3 February 2022 / Revised: 14 February 2022 / Accepted: 17 February 2022 / Published: 22 February 2022

Round 1

Reviewer 1 Report

The manuscript submitted for review has been significantly improved and no major corrections are required.

Author Response

Dear Reviewer,

 

We would like to thank the Reviewer for carefully examining our work. Your insights were fundamental to improve the content of the paper.

 

Yours sincerely,

The Authors

Reviewer 2 Report

The English language must be revised.

 

Analysis and Discussion of Results

Line 687- “The standard deviation was used to check the data dispersion. If this value is low, it indicates that the data is close to the average value. If this value is high, it indicates that the data is spread over a wide range of values. First quartile or lower quartile is the value at the 25% of sorted data, 25th percentile. Third or upper quartile is the value from which 25% of the highest values are found, that is, the value at 75% of the ordered data, 75th percentile. The interquartile range (IQR) describes the middle 50% of values when ordered from lowest to highest. The IQR is determined by calculating the median (middle value) of the lower and upper half of the data. These values are first quartile (Q1) and third quartile (Q3). The IQR is the difference between Q3 and Q1.”??Please remove this part, as well as other basic definitions all over the text.

 

Conclusions

Please do not repeat your results and focus on your main conclusion.

Author Response

Dear Reviewer,

 

We would like to thank the Reviewer for carefully examining our work and for providing us with the opportunity of revising and improving the manuscript. We have addressed all your comments and suggestions and modified the paper accordingly. All modifications are marked using the Trach Changes tool in the revised manuscript in order to facilitate the review process. Thank you very much. The improvements made in the paper are listed below. We are now confident that the manuscript is ready to be published in the Climate journal.

 

Yours sincerely,

The Authors

 

Reviewer 2/Comment 1: The English language must be revised.

Answer: We appreciate your observation. This English language was revised.

 

Reviewer 2/Comment 2:  Analysis and Discussion of Results

Line 687- “The standard deviation was used to check the data dispersion. If this value is low, it indicates that the data is close to the average value. If this value is high, it indicates that the data is spread over a wide range of values. First quartile or lower quartile is the value at the 25% of sorted data, 25th percentile. Third or upper quartile is the value from which 25% of the highest values are found, that is, the value at 75% of the ordered data, 75th percentile. The interquartile range (IQR) describes the middle 50% of values when ordered from lowest to highest. The IQR is determined by calculating the median (middle value) of the lower and upper half of the data. These values are first quartile (Q1) and third quartile (Q3). The IQR is the difference between Q3 and Q1.”??Please remove this part, as well as other basic definitions all over the text.

Answer: We appreciate your observation. This section was revised. Basic definitions were removed.

 

Reviewer 2/Comment 3: Conclusions

Please do not repeat your results and focus on your main conclusion.

Answer: We appreciate your observation and suggestions. The conclusion section was rearranged to include only the main conclusion.

Round 2

Reviewer 2 Report

The manuscript was improved.

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