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Article
Peer-Review Record

Estimating Leaf Water Content through Low-Cost LiDAR

Agronomy 2022, 12(5), 1183; https://doi.org/10.3390/agronomy12051183
by Akira Hama *, Yutaro Matsumoto and Nobuhiro Matsuoka
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Agronomy 2022, 12(5), 1183; https://doi.org/10.3390/agronomy12051183
Submission received: 31 March 2022 / Revised: 9 May 2022 / Accepted: 12 May 2022 / Published: 14 May 2022
(This article belongs to the Special Issue Advances in Field Spectroscopy in Agriculture)

Round 1

Reviewer 1 Report

The manuscript “Estimating Leaf Water Content through Low-Cost LiDAR" is interesting but the paper need minor revision. Overall the manuscript was good.

Comments:

  1. Avoid using " We, I, etc., in the manuscript.
  2. Since authors have used low cost LiDAR, it will be interesting if they have included the cost variation between this low cost LiDAR and conventional measuring method.

 

Author Response

Thank you for your kind and polite response.

Please kindly see the attached file for responses to comments.

Author Response File: Author Response.docx

Reviewer 2 Report

This study presents using a low-cost light detection and ranging (LiDAR) to estimate leaf water content (LWC) by measuring LiDAR reflectance instead of morphological measurements (e.g., plant size).

Overall, the topic is interesting that can be beneficial to the scientific community. However, this manuscript could benefit from minor editing before publication.

Specific comments:

  1. Line 270: How about the relationship between LWC and the 905-nm reflectance from hyperspectral imaging data? Please give a comparison of LWC estimation models between hyperspectral and LiDAR sensor.
  1. Figure 5 and 6: The reviewer is curious about how did you split the calibration data samples and validation data samples. Please clarify it.
  1. Line 326: The reviewer is curious about how is the performance for the LiDAR-based LWC estimation models at the outdoor environment under natural light. Could you add some discussion sentences about the potential challenge when using LiDAR under natural light in the estimation of LWC?

Author Response

Thank you for your kind and polite response.

Please kindly see the attached file for responses to comments.

Author Response File: Author Response.docx

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