Greengage Grading Method Based on Dynamic Feature and Ensemble Networks
Round 1
Reviewer 1 Report
The acognitive method of greengage grade based on dynamic feature and ensemble networks is explored in this paper. The paper presents a relevant contribution.
However, some points need to be improved.
- The contributions of the paper need to be add in bullets in introduction section.
-algorithm 1 need to be better explianed
-authors need to better explain the parameters used in the experiments, values, range and preliminar tests.
Overall, the paper need to improve the english language.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Overall, this work contains some publishable materials. I have two concerns with this submission, given as follows:
1. English writing needs further improvements. Some sentences are difficult to follow indeed. I suggest the authors to seek for professional native speakers for a proofreading to improve the readability.
2. This work has some overlaps to the reported result in [9]. The authors should stress the difference and highlight some new contributions from this work.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
