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Article
Peer-Review Record

Segmentation and Stratification Methods of Field Maize Terrestrial LiDAR Point Cloud

Agriculture 2022, 12(9), 1450; https://doi.org/10.3390/agriculture12091450
by Chengda Lin 1,*, Fangzheng Hu 1, Junwen Peng 1, Jing Wang 1 and Ruifang Zhai 2
Reviewer 1:
Reviewer 2: Anonymous
Agriculture 2022, 12(9), 1450; https://doi.org/10.3390/agriculture12091450
Submission received: 13 July 2022 / Revised: 18 August 2022 / Accepted: 12 September 2022 / Published: 13 September 2022
(This article belongs to the Special Issue Recent Advances in Agro-Geoinformatics)

Round 1

Reviewer 1 Report

Topic is very attractive. Your presentation is good overal. It needs small corrections pointed below.

1. Table1:

 

On the last column, not number of point cloud, it should be  “point number of cloud data” or “number of scan points”.

2    2. Page 4/Line135:

Please check the accuracy mention.

3    3. Page8/Line 235:

Check the “…colWlection of point…”

4    4. Give sort information about number of scan stations and accuracy of point cloud registration.

5    5. "2.5 Model evaluation metrics"

      It should be better to show an example for TP, FP, FN on a Figure with point cloud data.

5    6. The language should be checked in some points.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

This paper presents a methodology based on 3D point cloud obtained from LiDAR to determine the size and type of different maize. The methodologies allow the identification of the parts of the plants, their sizes, growing expectations, etc. The authors provide different experimental results and statistical tests to support their conclusions.

In general the English is good.

The paper is very descriptive but it is not clear what is the original contribution. Techniques used are well known, probably the combination of all them. However the authors should be more explicit about this point.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

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