Ramie Field Distribution Model and Miss Cutting Rate Prediction Based on the Statistical Analysis

Round 1

Reviewer 1 Report

This work determines the ramie field plant distribution type and distribution parameters based on the field investigation. The cutter movement trajectory was analyzed, and the missing rate was calculated. The results of ramie field harvest showed that the prediction model of feed quantity and miss cutting rate was effective.

The provided information is relevant for the knowledge field. Nevertheless, some issues should be addressed

1) Section 2.1 should be improved to better explain the procedure for the sampling information, assumptions, and representativeness of the sampling.

2) In addition to Figure 7, a mechanical diagram of the Cutting knife mechanism is required.

3) Sections 3.1 to 3.4.2. presents a large amount of information, it is recommended to add a discussion section to summarize the outcomes and provide insight on the meaning and limitation of the results.

4) The Conclusion section is superficial, should include quantitative results (instead of qualitative comments “has good prediction effect”); advantages and disadvantages, limitations, and recommendation for real implementations should be included.

Author Response

Thank you very much for your valuable comments, your suggestions are very important to improve the quality of the paper, the reply to your comments is as follows:

1)Section 2.1 has been improved as requested.

2)The mechanical diagram of cutting knife are provided in Appendix B

3)Based on your suggestion, we add a discussion section to summarize the outcomes and provide insight on the meaning and limitation of the results.

4)Based on your suggestion, we improve conclusion, we add quantitative results, advantages and disadvantages, limitations, and recommendation for real implementations.

Reviewer 2 Report

Based on my review I would suggest minor changes detailed below:

What is the novelty of the current research? Is the use of the current methodology in the study area

Discussions part should be written is separate section and should be improved. I would like to see more discussion here about the ramie spatial distribution model with statistical method, and predicted model of ramie harvesting feeding quantity application to other places. What do the authors propose?

Conclusion should be improved

Recommendations for future studies are not significant as per the findng of this study, so rewrite the future studies

Keywords should not be repeats of the title terms; instead, seek out words that are not included in the title; this will increase the probability that search engines on the web will find your content

Author Response

Thank you very much for your valuable comments, your suggestions are very important to improve the quality of the paper, the reply to your comments is as follows:

• Based on your suggestion,we describe the novelty of the study and the use of the current methodology in the study area in the introduction, discussion and conclusion sections of the paper. The target of ramie harvesting is the ramie stalks. Since Ramie is a shrub plant, although the row spacing of Ramie roots is fixed at the time of transplanting, the distribution of Ramie stalks is not uniform at the time of harvesting, which makes it difficult to cut and transport ramie stalks, and the variation of feeding volume leads to under-powering or over-powering of the cutting and transporting parts. The main cultivation area of ramie is the hilly mountainous area in southern China, and the mechanized harvesting technology of ramie is not mature, and there is no research related to the field distribution of ramie stalks.In this paper, the type of ramie stalk field distribution was determined as normal distribution by statistical method such as normality test and hypothesis test, combined with the analysis of cutter motion to determine the prediction model of miss cutting rate and feed quantity, and conducted a ramie mechanized harvesting test to verify the reliability of the model. This study can better distribute the harvester power, reduce harvesting losses, and provide a basis for intelligent decision making for ramie harvesters.
• Based on your suggestion,we add a discussion section.In discussion section, we write more discussion about the ramie spatial distribution model with statistical method, and predicted model of ramie harvesting feeding quantity application to other places.
• Based on your suggestion,we improve conclusion.
• Based on your suggestion,we rewrite the future studies in Discussion Conclusions.
• Thank you very much for your advice on keywords, you have told me a very practical tip.

Round 2

Reviewer 1 Report

The authors addressed the recommendations, the manuscript has been sufficiently improved and could be considered for publication.