Next Article in Journal
Carbon Capture from Post-Combustion Flue Gas Using a State-Of-The-Art, Anti-Sublimation, Solid–Vapor Separation Unit
Next Article in Special Issue
IoT-Based Smart Water Management Systems for Residential Buildings in Saudi Arabia
Previous Article in Journal
Metallic Material Evaluation of Liquid Hydrogen Storage Tank for Marine Application Using a Tensile Cryostat for 20 K and Electrochemical Cell
Previous Article in Special Issue
A Reinforcement-Learning-Based Model for Resilient Load Balancing in Hyperledger Fabric
 
 
Article
Peer-Review Record

Smart Greenhouse Based on ANN and IOT

Processes 2022, 10(11), 2402; https://doi.org/10.3390/pr10112402
by Medhat A. Tawfeek 1,2, Saad Alanazi 1 and A. A. Abd El-Aziz 3,4,*
Reviewer 1:
Reviewer 2:
Processes 2022, 10(11), 2402; https://doi.org/10.3390/pr10112402
Submission received: 16 October 2022 / Revised: 5 November 2022 / Accepted: 10 November 2022 / Published: 15 November 2022

Round 1

Reviewer 1 Report

The file is attached.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

In this research, The authors are studying the smart greenhouse based on ANN and IOT. The study in this paper mainly contributes to the process of creating smart greenhouse of olive trees using Artificial Neural Networks (ANN) and IoT. However, there were still some shortcomings:

 

1. How to obtain the yield of olive fruit ? Compared with the traditional cultivation methods, what are the similarities and differences of olive cultivation in smart greenhouse ?

2. Fruit sample collection needs to conform to statistics, at least 3 samples are selected, and the histogram lacks standard error.

3. Climatic parameters, such as temperature, humidity, sunshine hours, etc., for traditional and smart greenhouse olive cultivation need to be listed

4. There is a lack of discussion on the differences between this article and previous studies.

5. The article conclusion part lacks the data support.

6.     The article lacks references in the last two years.

Author Response

Please see the attachment.

Reviewer 3 Report


Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Back to TopTop