Next Article in Journal
Irrigation Zone Delineation and Management with a Field-Scale Variable Rate Irrigation System in Winter Wheat
Next Article in Special Issue
Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review
Previous Article in Journal
Droughts and Thermo-Priming Enhance Acclimation to Later Drought and Heat Stress in Maize Seedlings by Improving Leaf Physiological Activity
Previous Article in Special Issue
Object Detection and Recognition Techniques Based on Digital Image Processing and Traditional Machine Learning for Fruit and Vegetable Harvesting Robots: An Overview and Review
 
 
Article
Peer-Review Record

Analysis of Near-Infrared Spectral Properties and Quantitative Detection of Rose Oxide in Wine

Agronomy 2023, 13(4), 1123; https://doi.org/10.3390/agronomy13041123
by Xuebing Bai 1,2, Yaqiang Xu 1, Xinlong Chen 1, Binxiu Dai 1, Yongsheng Tao 1,2,* and Xiaolin Xiong 3,*
Reviewer 1:
Reviewer 2: Anonymous
Agronomy 2023, 13(4), 1123; https://doi.org/10.3390/agronomy13041123
Submission received: 22 March 2023 / Revised: 10 April 2023 / Accepted: 12 April 2023 / Published: 14 April 2023
(This article belongs to the Special Issue Agricultural Unmanned Systems: Empowering Agriculture with Automation)

Round 1

Reviewer 1 Report

This study proposed an information-based analysis method for Rose Oxide in wine, which need not labor-intensive and cost-consuming as the traditional experiment. This study also analyzed the spectral characteristics and response mechanism of Rose Oxide to support their method. The paper is clear and logical. It still needs to be revised in the following aspects:

1. Keywords fail to show the important technologies and methods in the study, such as “Band assignment” was meaningless information. The core algorithm should be included in the keywords.

2. The authors have not analyzed the latest research or application progress of spectral technology in wine. The literatures cited for analysis was published in early years.

3. The method is described briefly. Specially, four preprocessing algorithms are unclear and lack key steps and equations.

4. Table and Figure are not standardized. They need to be modified according to the requirements of the Agronomy template, including position, line, font, etc.

5. English writing of the paper is poor. Some sentences have errors, such as singular and plural of noun. The paper needs polishing by institution to correct fundamental linguistic errors.

Author Response

Dear reviewer:

Thanks for your comments to our manuscript. Detailed response to your comments were shown in attachment.

Kind regards.

Author Response File: Author Response.doc

Reviewer 2 Report

Please see attached file

Comments for author File: Comments.pdf

Author Response

Dear reviewer:

Thanks for your comments to our manuscript. Detailed response to your comments were shown in attachment.

Kind regards.

Author Response File: Author Response.doc

Back to TopTop