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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.

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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 -

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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