SMART AGRONOMIC AUTOMATED IRRIGATION SYSTEM USING IOT
DOI:
https://doi.org/10.61841/zz1pyj72Keywords:
Temperature and Humidity sensors (DHT22), Soil moisture sensor, Ultrasonic sensors, at mega 328 microcontroller, RF module, Automation, Android appAbstract
Soil is the critical part of successful agronomy; it is an original source of nutrients. Increase or decrease of soil hydration leads to many plant diseases. In existing systems, there are many drawbacks like overwatering, loss of signal, not accurate results, heavy cost, speed. The issues due to abnormal irrigation become increasingly prominent, which affects crop health and also humans who depend on crops, etc. To overcome this problem, we propose to build a smart agronomic methodology that uses the supremacy of front-end technology such as the Internet of Things, wireless sensor networks, and clouds, as well as sensors like temperature and humidity sensors, soil moisture capacitive sensors, and ultrasonic sensors (height measurements). The data access process ensures accuracy and is monitored using the app. The outcome shows that the proposed system is very meticulous, coherent, and best appropriate for today’s agronomics.
Downloads
References
1. https://en.wikipedia.org/wiki/Precision_agriculture.
2. Zhao Liqiang, Yin Shouyi, Liu Leibo, Zhang Zhen, and Wei Shaojun: A Crop Montioring System Based on Wireless
Sensor Network||ELSEVIER, Procedia Environmental Sciences-2011.
3. Shruti A Jaishetty, Rekha Patil,-IoT sensor network-based approach for agricultural field monitoring and
control||IJRET: International Journal of Research in Engineering and Technology, Volume: 05 Issue: 06 | June 2016.
4. Keerthi, V., DR. G. N. Kodandaramaiah,DR.G.N.Kodandaramaiah,-Cloud IoT-Based Greenhouse Monitoring System|| Int. Journal of
Engineering Research and Applications, ISSN: 2248-9622, vol. 5, Issue. 10, (part-3) October 2015, pp. 35-41.
5. Rajalakshmi, P., and S. Devi Mahalakshmi-IoT-Based Crop-Field
ieeexplore.ieee.org/ie17/7589934/77268772/07726900.
6. Baltej Kaur, Danish Inamdar, vishal Raut, Akash Patil and Nayan Patil-A Survey On Smart Drip Irrigation
System||International Research Journal of Engineering and Technology (IRJET) vol. 03, issue. 02, February 2016.
7. G.Parameswaran,K.Sivaprasath-Arduino-Based Smart Drip Irrigation System Using Internet of Things||DOI
10.4010/2016.1348,ISSN 2321 3361,2016 IJESC.
8. Bouzekri Amel, Chabane Mohamed, Benahmed Tarek— smart irrigation system using Internet of ngs. The
Fourth International Conference on Future Generation Communication Technologies (FGCT 2015).
9. S.Reshma, B.A Sarath Manohar Babu-IoT-Based Automatic Irrigation System using Wireless sensor
Network (WNS)||International Journal and Magazine of Engineering, Technology, Management and Research,
Volume No.3(2016),Issue.No.9.
10. Milos Brajovis, Stefan Vujovis, Slobodan Dukanovis-An overview if Smart Irrigation Software, 4th Mediterranean
Coference on Embedded Computing, MECO-2015.
11. Nikesh GondChawar, Prof. Dr. R.S. Kawitkar, IoT-Based Smart Agriculture, International Journal of Advanced
Research in Computer and Communication Engineering, vol. 5, issue. 6, June 2016.
12. Gayathri, R., Saranya, B., Binu, Lavanya, Devi-Optimized Equipment for Measurement of Soil Parameters and
Conservation of Water in Agricultural Fields. International Journal of Innovative Research in Communication
Engineering, vol. 4, issue 6, June 2016.
13. Srisruthi.S., N.Swarna, G.M. Susmitha Ros, Edna Elizabeth, Sustainable Agriculture using Eco-Friendly and Efficient Sensor Technology, IEEE International Conference on Recent.
14. C.Thulasi Priya, K. Praveen, and A. Srividya—Proposed a System for Monitoring Pest Insect Traps Using Image Sensors and DSPIC—International Journal of Engineering Trends and Technology, vol. 4, issue 9, September 2013.
15. Shalini.D.V.-Automatic Pesticide Sprayer for Agriculture Purpose||IJSART-vol.2, issue.7-july2016.
16. Aravind.R, Daman.M, Kariyappa.B.S.-Design and Development of Automatic Weed Detection and Smart Herbicide Sprayer Robot||2015 IEEE Recent Advances in Intelligent Computational Systems(RAICS)10-12 dec 2015|Trivandrum.
17. Joaquin Gutierrez, Juan Francisco Villa-Medina, Aracely Lopez-Guzman and Miguel Angel PortaGandara||SmartPhone Irrigation Sensor|1530-437X(c)2015IEE
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.