Next Article in Journal
Prediction of Cultivation Areas for the Commercial and an Early Flowering Wild Accession of Salvia hispanica L. in the United States
Previous Article in Journal
Effects of Different Organic Fertilizers on Sweet Potato Growth and Rhizosphere Soil Properties in Newly Reclaimed Land
 
 
Article
Peer-Review Record

A Fourier Transform-Based Calculation Method of Wilting Index for Soybean Canopy Using Multispectral Image

Agronomy 2022, 12(7), 1650; https://doi.org/10.3390/agronomy12071650
by Panpan Shen, Xiaodan Ma *, Haiou Guan, Haotian He, Feiyi Wang, Miao Yu and Chen Yang
Reviewer 1: Anonymous
Reviewer 2:
Agronomy 2022, 12(7), 1650; https://doi.org/10.3390/agronomy12071650
Submission received: 16 May 2022 / Revised: 26 June 2022 / Accepted: 8 July 2022 / Published: 10 July 2022
(This article belongs to the Section Precision and Digital Agriculture)

Round 1

Reviewer 1 Report

The manuscript is written in a clear and well structured way; the results are clearly presented. The cited references are mostly recent publications but I reccomended an indepth study of recent references of other authors. The paper can in principle be accepted after minor revision.

Author Response

Dear reviewer, 

Thanks for your constructive comments. We have uploaded point to point response to your comments .

Regards,

Panpan Shen

Author Response File: Author Response.docx

Reviewer 2 Report

The paper presents a method to calculated the wilting index of soybeans using a multispectral camera.

The manuscript is badly structured and crowded out by details not relevant for the main goal of the work (e.g. l. 189-207, 220-249, 263-271, 287-306, 308-312, 327-349, 429-450, 465-484, 593-607, 621-634, etc.). Mathematically obvious results are presented long and wide without any added value (e.g. l. 369-383). Important information are missing or shortly dropped (e.g. l. 386) between long paragraphs of non-relevant numbers.

Statistics is missing completely. The manuscript reads if only one multispectral images has been acquired. The size of the acquired dataset is not mentioned, at least I could not find it in the manuscript!

The manuscript is lacking of grammar. I suggest to completely re-write the manuscript after it boiled in! To my opinion, the content of the paper is good for ~8 pages…

 

Some general questions:

1.    Why calculating for each spectral channel an independent wilting index? Then also just a RGB camera could be used?!

2.    How was the calibration calculated? I.e., where are the numbers coming from?

Author Response

Dear reviewer, 

Thanks for your constructive comments. We have uploaded point to point response to your comments .

Regards,

Panpan Shen

Author Response File: Author Response.docx

Reviewer 3 Report

The topic is extremely interesting. Here you can find my comments.

OVERALL: Please, enlarge and re-arrange all figures and font size. Also, it is mandatory using HD images in order to improve the scientific quaity of your study

 

INTRODUCTION: Please, consider in the scientific background of your study also the use of novel image processing methods in the monitoring of forestry, and environmental engineering studies (i.e.,

 

 

Lama, G.F.C.; Crimaldi, M. Remote Sensing of Ecohydrological, Ecohydraulic, and Ecohydrodynamic Phenomena in Vegetated Waterways: The Role of Leaf Area Index (LAI). Biol. Life Sci. Forum 2021, 3, 54. https://doi.org/10.3390/IECAG2021-09728

McGlade, J.; Wallace, L.; Reinke, K.; Jones, S. The Potential of Low-Cost 3D Imaging Technologies for Forestry Applications: Setting a Research Agenda for Low-Cost Remote Sensing Inventory Tasks. Forests 2022, 13, 204. https://doi.org/10.3390/f13020204.

METHODOOGY: Please, insert some HD figures in Section 3.1.1-1 and Section 3.3.1. The reader should be guided properly in the understanding of all sections.

 

 

 

 

Author Response

Dear reviewer, 

Thanks for your constructive comments. We have uploaded point to point response to your comments .

Regards,

Panpan Shen

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

The article has been improved according to the suggestions of the reviewer. Very little imrpovements are needed:

OVERALL: Please, improve more and more the color contrast in Figure 4, Figures 6-12, Figures 14-17. This is extremely important for the clarity of the scientific message associated with the manuscript.

 

INTRODUCTION: Please, consider also the application of multispectral-based image processing in water resources managment (i.e.,

 

Jalonen, J., Järvelä, J., Virtanen, J. P., Vaaja, M., Kurkela, M., & Hyyppä, H. Determining characteristic vegetation areas by terrestrial laser scanning for floodplain flow modeling. Water, 2015, 7(2), 420-437. https://doi.org/10.3390/w7020420.

Sadeghifar, T.; Lama, G.F.C.; Sihag, P.; Bayram, A.; Kisi, O. Wave height predictions in complex sea flows through soft computing models: Case study of Persian gulf. Ocean Eng. 2022, 245, 110467, https://doi.org/10.1016/j.oceaneng.2021.110467).

Author Response

Dear reviewer,

Thanks for your constructive comments. We have uploaded point to point response to your comments .

Regards,

Panpan Shen

Author Response File: Author Response.docx

Back to TopTop