Utilization of the Fusion of Ground-Space Remote Sensing Data for Canopy Nitrogen Content Inversion in Apple Orchards
Round 1
Reviewer 1 Report
Dear Authors,
Thank you for your submission and the work presented looks promising.
I have few suggestions and concerns that I would like you to address before proceeding further which are mentioned below.
1- The title of the manuscript needs modification. "utilization of ground space remote sensing data.....
2- Minor English language corrections are required at places.
3- The introduction section is too long, repetitive and verbose. Please reduce it to keep your readers engaged.
4- Section 2.3.1- How the visual interpretation done? Was only one person/multiple people involved in the analysis? Did the interpretation varied among different people involved in case there was more than one person?
5- Section 3.2- please specify the range for classification under high, moderate and low accuracy and then present your results.
6- Figure 4- what does the lower image signify? These are not labelled.
7- Figure 10, 11 and 12- As per my consideration R2 values are moderate. How do you justify the accuracy?
8- I think all the models are showing similar values for R2 (.60-.75). If the R2 value of any model was > .90 or 90% I would consider it better than others. Please justify why are you considering XGBoost model better then others?
Minor improvement in the language of the manuscript is needed.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
This research addressed the fusion of ground-space remote sensing data, a method of inverting nitrogen content in one of the most important fruit crops globally, the apple orchard.
This paper provided valuable information for precision crop management for efficient and accurate monitoring of crop nitrogen content using multi-source remote sensing data fusion.By combining ground-space remote sensing data and inverting nitrogen content in apple orchard canopies, an effective integrated method was proposed in this study, which provides a significant contribution to this field.
While the problems being addressed are likely to interest the readership, several major concerns should be addressed:
1. Title: I suggest addressing the scientific significance of the work in a more clear statement of the title.
2. Authors mentioned some abbreviated terms without clarifying the full terms, for example:
Line 61 TM and ALOs
Line 163: ASD Field spec.4
Line 98: GF-6
3. some sentences need to be clarified by the authors, for example:
Line 96-97: Are FVC and FCV the same? please clarify
line 67: "Nowadays, how to integrate high-precision ground remote sensing with space remote sensing with strong continuity to realize the high-precision regional inversion of nitrogen content is worth further exploration". The sentence is ambiguous, pls. clarify more.
Line 84: Please clarify what is meant by this sentence: "However, this method converges slowly, the factorization result is not unique and requires that the factorization can only be performed if all features are non-negative""
Line 123: The problem statement and aim of the study are not stated clearly. please exchange "took "by "focused on"
Line 128: The authors mentioned that" The accuracy of the models constructed based on the three different types of data was compared,". please clarify precisely what the three different data were used here??
4. I recommend that the authors add a new section after the introduction for the related work of this study in similar and various fields, particularly describing the CNC inversion model.
5. Citation is needed in the methods section e.g., lines 153,163
6. The figure's quality is poor, particularly 2,3,4 please try to exchange them with a better version to clarify the details of them.
2.
language quality is poor (e.g. typographical errors, Grammar, Mechanics, and style,
please check carefully
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
Dear Authors,
Thank you for your detailed response and including the suggestions. I will send my recommendations to the editor.
Best wishes.
