Design and Test of Cleaning Loss Kernel Recognition System for Corn Combine Harvester
Round 1
Reviewer 1 Report
Manuscript title: Design and test of cleaning loss kernel recognition system for corn combine harvester
Manuscript ID: agronomy-1709542
Journal: Agronomy
The current MS analyses the impacting signals of corn kernel and impurity by spectrum method to obtain the distinguishing characteristics from two impacting signals. Also, on the basis of the conventional hardware signal processing circuit, the software judgment program for the holding time of the output square wave signal is added to improve the accuracy and reliability of cleaning loss kernel recognition system for corn combine harvester.
The subject is interesting for researchers working in the field of agricultural engineering. The MS is well-written and structure. Abstract is informative, material and methods contain a sufficient data and will be useful for other researchers to repeat. Results and discussion are correlated and gave me direct idea about the points which the authors need to touch. However, the obtained results need to be discussed in details. Kindly find enclosed some suggestions to improve the MS as pdf file.
Comments for author File: 
Comments.pdf
Author Response
The subject is interesting for researchers working in the field of agricultural engineering. The MS is well-written and structure. Abstract is informative, material and methods contain a sufficient data and will be useful for other researchers to repeat. Results and discussion are correlated and gave me direct idea about the points which the authors need to touch. However, the obtained results need to be discussed in details. Kindly find enclosed some suggestions to improve the MS as pdf file.
Response: Revised as suggested.
Reviewer 2 Report
- Did you compare the new technique with the conventional cleaning the corn after harvest?
- Make the conclusions following the objective of this research as showing in the introduction.
Author Response
1.Did you compare the new technique with the conventional cleaning the corn after harvest?
Response: Since the cleaning loss kernel recognition system needs to be designed according to the characteristic identification methods, this paper mainly aims at the problem that corn cleaning loss detection device has time-consuming signal processing process and low recognition accuracy. Designed and tested based on new findings and methods, not compared to traditional identification methods
- Make the conclusions following the objective of this research as showing in the introduction.
Response: Revised as suggested.
Reviewer 3 Report
Dear editors of Agronomy,
Many thanks for sharing the manuscript with me. My observations are summarized below:
- Could you please expand the title a bit to make it more attractive for readers?
- In my opinion, the abstract should be reorganized and rewritten. I believe that this section should preferably be written in layman's terms to make it more understandable to the public. Please highlight more the findings and their importance. English used in the abstract should be upgraded.
- Is it please possible to expand the part on theory to make it more in-depth and comprehensive? Ideally, I would propose to structure this part into several subsections. Referencing should be more developed. We need to know what discussion is followed and where frontiers in the field are touched.
- It seems to me that this part contains more information that required from the section on methodology. Please focus here just on the description of the method applied and what data were needed. All other parts should be removed (are these your findings?). It would be good if the method is shown in a graphical scheme.
- Section 3 (Test and Discussion) should be renamed for Results, so that it is clear, what to expect. Please focus in this part just on your original findings.
- Please develop individual section on Discussion.
- Please expand for practical utilization of your findings and mention limitations of the study.
- The list of refs should massively expanded.
I hope the authors will find my comments useful. Let me wish the authors all the best for the work on the revision. I recommend a major revision.
Kind regards,
Author Response
1.Could you please expand the title a bit to make it more attractive for readers?
Response: This paper mainly focuses on the problems of the problem that corn cleaning loss detection device has time-consuming signal processing process and low recognition accuracy, focusing on improving the distinction between kernels and impurities and the accurate counting of lost kernels.
2.In my opinion, the abstract should be reorganized and rewritten. I believe that this section should preferably be written in layman's terms to make it more understandable to the public. Please highlight more the findings and their importance. English used in the abstract should be upgraded.
Response： The significance and importance of the study have been added to the abstract.
We hope the writing is acceptable for publication now.
3.Is it please possible to expand the part on theory to make it more in-depth and comprehensive? Ideally, I would propose to structure this part into several subsections. Referencing should be more developed. We need to know what discussion is followed and where frontiers in the field are touched.
Response： In this paper, the signal spectrum analysis is used to find the distinguishing frequency of grains and impurities. Combined with the impact response time, the number of impacted grains is judged, which is an innovation based on the existing theory.
4.It seems to me that this part contains more information that required from the section on methodology. Please focus here just on the description of the method applied and what data were needed. All other parts should be removed (are these your findings?). It would be good if the method is shown in a graphical scheme.
Response： The distinguishing features of grain and impurities were found by the authors of this paper, and based on the feature frequency and response time, the design of a cleaning loss kernel recognition system for corn combine harvester was carried out.
5.Section 3 (Test and Discussion) should be renamed for Results, so that it is clear, what to expect. Please focus in this part just on your original findings.
Response: Revised as suggested.
6.Please develop individual section on Discussion.
Response: Revised as suggested.
7.Please expand for practical utilization of your findings and mention limitations of the study.
Response: Lines 278-291 of page 10 have been revised.
8.The list of refs should massively expanded.
Response: Lines 333, 341-360,369-370 of page 12 have been revised.
Round 2
Reviewer 3 Report
I carefully check the revised version. All my comments and points raised were reflected in the new version of the manuscript. From my side, the manuscript can be accepted.
Let me congratulate the authors for a nice work.
Kind regards,
