Design of a Moisture Content Detection System for Yinghong No. 9 Tea Leaves Based on Machine Vision

Round 1

Reviewer 1 Report

This paper use machine learning technology to detect the moisture content of Yinghong tea leaves. The author indicated there are several alternative methods has been developed (Line 42 - 52) but did not illustrate the limitation of these alternatives. As result, it is unknown why developing a new image-based approach is required. A comparison between the developed methods and the alternatives is required to highlight the advantage of the development in this study. The ground truth in this study was obtained by simple weighting. It needs to clarify why image processing is required in the production process.

 

Introduction

Line 22: What is BP?

Line 42: Please introduce the traditional method briefly and indicate its limitation specifically.

The citation with authors’ names should follow the reference format. First names should be omitted.

Section 2

Line 114L What is 2g-r-b?

Section 4

Relevant images should be added with illustrations in 4.2.

Section 5

The value of input, output and hidden neurons should address.

Section 6

 

6.2 mixed the method and result. These should be separated.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Keywords must be revised. Some are only acronymous and other small sentences.

English must be verified/reviewed. “.. here in China..”, “...This paper analyzed analyze the ...”, “...his paper selected..”. “..module, After..”, “...used preprocess ...”, etc. This paper must be revised by a native English.  Several typos and English mistakes. There are a lot to be improved.

Several acronymous must be precisely presented in first time they are mentioned in text: Ex: BP... confirm all.

All figures must be cited in text. Fig 4 is not. Confirm all of them.

Equations must be cited in text. Confirm that all are... In my opinion they are not cited in text.

Several sections starting with small caps. Ex: “4.1 materials and methods”. There are more. Check all of them..

In the introduction some sentences must be more “documented”/grounded . Ex: “There are few studies on the  moisture content of stacked tea leaves. “ how many, examples of it, how did we know? This is vague.  This must be, in a paper for a journal, more specific and rigorously presented.

“It turned out that deep learning methods can better  characterize...”. How it turned out, must be more precise. This is vague.

“the fan will be started,..” but in Figure 1 there is no fan represented.

Figure 3 you have “1. Control room 2. Camera obscura “ is this English?

Conclusions must be improved avoiding  the (1) , (2), etc.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

In my opinion the paper has been sufficiently improved.

Must check minor errors and text editing after accepting track changes.