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Monitoring of Greenhouse Powered By Machine Learning & Internet of Things: A Survey

Dhanya N A1 , Kiran Kumari Patil2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 125-130, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.125130

Online published on May 15, 2019

Copyright © Dhanya N A, Kiran Kumari Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Dhanya N A, Kiran Kumari Patil, “Monitoring of Greenhouse Powered By Machine Learning & Internet of Things: A Survey,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.125-130, 2019.

MLA Style Citation: Dhanya N A, Kiran Kumari Patil "Monitoring of Greenhouse Powered By Machine Learning & Internet of Things: A Survey." International Journal of Computer Sciences and Engineering 07.14 (2019): 125-130.

APA Style Citation: Dhanya N A, Kiran Kumari Patil, (2019). Monitoring of Greenhouse Powered By Machine Learning & Internet of Things: A Survey. International Journal of Computer Sciences and Engineering, 07(14), 125-130.

BibTex Style Citation:
@article{A_2019,
author = {Dhanya N A, Kiran Kumari Patil},
title = {Monitoring of Greenhouse Powered By Machine Learning & Internet of Things: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {125-130},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1105},
doi = {https://doi.org/10.26438/ijcse/v7i14.125130}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.125130}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1105
TI - Monitoring of Greenhouse Powered By Machine Learning & Internet of Things: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Dhanya N A, Kiran Kumari Patil
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 125-130
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

In this paper, we offer the entire description of the existing system followed by solutions in greenhouse monitoring. Then we have conducted a survey on the related literature and concisely explaining them to the reviewer about the proposed work. The main aim of this survey is to make a way for the readers to recognize the developments and issues in this area. This paper concentrates to provide information to the farmers to develop agriculture so that they could grow crops according to their farm conditions allowing in enhancing productivity and sales. The approach in carrying out the survey is to know about various technologies that have been implemented in monitoring the greenhouse and also to know the enhancements that could be made further. The survey has been made to analyze to what extent the farmers have been benefited or not by reviewing the various papers and to make an attempt to understand the levels of difficulties in monitoring greenhouse with exact temperature, humidity, soil moisture, water level and, aid farmers to perceive profit and also to resolve the same.

Key-Words / Index Term

Microcontroller, GSM, Temperature Sensor, Humidity Sensor, Soil Sensor, Zigbee Technology, Wireless Sensor network. greenhouse monitoring

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