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Article
Peer-Review Record

Detection of Miss-Seeding of Sweet Corn in a Plug Tray Using a Residual Attention Network

Appl. Sci. 2022, 12(24), 12604; https://doi.org/10.3390/app122412604
by Lulu Gao 1,2, Jinqiang Bai 2, Jingyao Xu 1,2, Baoshuai Du 1, Jingbo Zhao 1, Dexin Ma 3 and Fengqi Hao 2,*
Reviewer 1:
Reviewer 2: Anonymous
Appl. Sci. 2022, 12(24), 12604; https://doi.org/10.3390/app122412604
Submission received: 4 November 2022 / Revised: 4 December 2022 / Accepted: 5 December 2022 / Published: 8 December 2022

Round 1

Reviewer 1 Report

The reserach "Detection of Miss-Seeding of Sweet Corn in a Plug Tray Using 
a Residual Attention Network", proposes a method using the ResNet network with an attention mechanism to solve Detection of Miss-Seeding of Sweet Corn in plug tray.

1. The dataset is not shared in any repository.

2. The details of convolutional block attention module is missing. It should enhance more.

3. comparative analysis with state-of-art is missing

4. The manuscript is well written and the method is complete innovative.

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

1- All comments were inserted into the manuscript.

2- There is no comperision with outcome of other research. Results and discussion section should be enhanced.

3- References from 22 to 32 are not listed  in the text.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

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