IoT Based Intelligent Irrigation System Using Intel Edison and Fuzzy Inference System
Ravindra Kerkar1 , Kishor Bhosale2 , Gousiya Khanche3 , Madhura Pillai4
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-5 , Page no. 604-607, May-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i5.604607
Online published on May 31, 2019
Copyright © Ravindra Kerkar, Kishor Bhosale, Gousiya Khanche, Madhura Pillai . 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.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Ravindra Kerkar, Kishor Bhosale, Gousiya Khanche, Madhura Pillai, “IoT Based Intelligent Irrigation System Using Intel Edison and Fuzzy Inference System,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.604-607, 2019.
MLA Style Citation: Ravindra Kerkar, Kishor Bhosale, Gousiya Khanche, Madhura Pillai "IoT Based Intelligent Irrigation System Using Intel Edison and Fuzzy Inference System." International Journal of Computer Sciences and Engineering 7.5 (2019): 604-607.
APA Style Citation: Ravindra Kerkar, Kishor Bhosale, Gousiya Khanche, Madhura Pillai, (2019). IoT Based Intelligent Irrigation System Using Intel Edison and Fuzzy Inference System. International Journal of Computer Sciences and Engineering, 7(5), 604-607.
BibTex Style Citation:
@article{Kerkar_2019,
author = {Ravindra Kerkar, Kishor Bhosale, Gousiya Khanche, Madhura Pillai},
title = {IoT Based Intelligent Irrigation System Using Intel Edison and Fuzzy Inference System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {604-607},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4287},
doi = {https://doi.org/10.26438/ijcse/v7i5.604607}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.604607}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4287
TI - IoT Based Intelligent Irrigation System Using Intel Edison and Fuzzy Inference System
T2 - International Journal of Computer Sciences and Engineering
AU - Ravindra Kerkar, Kishor Bhosale, Gousiya Khanche, Madhura Pillai
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 604-607
IS - 5
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
256 | 224 downloads | 131 downloads |
Abstract
The most important practice in India from the very beginning of Indus valley civilization era is agriculture on which both farmer and general people are dependent. But the economic contribution of agriculture is gradually declining. One of the major factors affecting agriculture in India is water shortage. It is caused due to use of inefficient traditional methods for irrigation. So an automated irrigation system is essential to avoid this water wastage. In this system the soil moisture is monitored using different sensors and as required watering is done. Here soil moisture and temperature are the main parameters to be focused on. The data collected is then passed on to fuzzy logic to increase efficiency, optimization and precision. The main purpose of this project is to monitor the soil moisture using Smartphone by sending SMS.
Key-Words / Index Term
IOT, FIS, Technology, Agriculture, Irrigation
References
[1] S.N. Deepa, S.N. Sivanandam (Author), “Fuzzy Inference System” Principles of Soft Computing” Wiley publication.
[2] https://www.arduino.cc/en/ArduinoCertified/IntelEdison
[3] https://www.dfrobot.com/category-36.html
[4] https://www.metergroup.com/environment/articles/how-calibrate-soil-moisture-sensors
[5] https://software.intel.com/en-us/intel-system-studio-iot-edition-guide-for-c-troubleshooting-and-faq