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Article
Peer-Review Record

A Crop Harvest Time Prediction Model for Better Sustainability, Integrating Feature Selection and Artificial Intelligence Methods

Sustainability 2022, 14(21), 14101; https://doi.org/10.3390/su142114101
by Shu-Chu Liu 1,*, Quan-Ying Jian 1, Hsien-Yin Wen 1 and Chih-Hung Chung 2
Reviewer 1:
Reviewer 2: Anonymous
Reviewer 3:
Reviewer 4:
Sustainability 2022, 14(21), 14101; https://doi.org/10.3390/su142114101
Submission received: 30 September 2022 / Revised: 25 October 2022 / Accepted: 26 October 2022 / Published: 28 October 2022

Round 1

Reviewer 1 Report

My review about the manuscript are in the attached file

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

This manuscript presents a very and interesting research done for productivity (agriculture sector). After having read the whole text, only some minor details are highlighted and identified to be solved out.

Some information is repeated. For instance. Line 37-39 and lines 51-53.

Could you please explain why empirical rules reduces the model accurately? (line 74)

In my view, all the acronyms should be set in capital letters.

Line 119 accumulated in lower case

Information established in paragraph (from line 125 to 139) should be clarified in a table

There is an extra bracket in line 195.

However, it would be of a great interest to readers to be able to read a conclusion since this manuscript has no conclusion.

Reference list is recent and has a good number of bibliography references.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

In the attached file you will find review comments.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 4 Report

A crop harvest time prediction model for better sustainability  integrating feature selection and artificial intelligence methods

1.Provide nearer the harvest time  value and ,prediction accuracy value in abstract.

2.Provide contribution section, after introduction .

3.Improve quality of image throughout manuscript.

4.Detailed description required from figure 1 to 3 .

5.Provide expansion for all abbreviation present in manuscript.

6.How will you calculate particle adaptation values?

7.Highlight proposed results value, to know difference with existing works.

7.I believe the authors need to state the novelty of their study with the considered architecture and contrast them with other existing studies.

 

8. The authors did not give a comparison of the proposed approach with previous published research in graphs.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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