Proceedings of the Multimedia University Engineering Conference (MECON 2022)

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IoT Based Drip Irrigation and Soil Monitoring System

Authors
Mohammad Wasim Haidhar Bin Mohamed Slime1, Yee Shen Pang1, *, Chyi Shing Chua1
1Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka, Malaysia
*Corresponding author. Email: sypang@mmu.edu.my
Corresponding Author
Yee Shen Pang
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-082-4_22How to use a DOI?
Keywords
Drip Irrigation; IoT Based; Moisture; BLYNK; Arduino NANO
Abstract

Water is an important resource required by all living things to stay alive. Water conservation is an important agenda throughout the world. Agriculture sector consumes lots of water resources to grow crops, vegetables and etc. Hence, a water saving irrigation system is desirable. The main objective of the project is to design and develop a prototype for an IoT-based drip irrigation and soil monitoring system. The system can be used to control and monitor the drip irrigation process according to soil moisture levels and also provides a notification to alert the user whenever the water level on the water container is low. There are three soil moisture sensors used to detect the soil moisture level from three different flower pots. The Arduino Nano which will automatically turn on submersible water pumps for drip irrigation when the moisture level detected is less than 20%. Furthermore, right-angle flip switch water level sensor is used to monitor the water level of the water container. Whenever the sensor detects that the water level is low, then a notification is sent to the user via BLYNK app. The system is able to communicate with the BLYNK app which is the IoT platform used to provide all of live stream data from the sensors to let user know on the changes occurred to the surrounding such as temperature, relative humidity, light intensity besides soil moisture levels.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Multimedia University Engineering Conference (MECON 2022)
Series
Advances in Engineering Research
Publication Date
23 December 2022
ISBN
978-94-6463-082-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-082-4_22How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mohammad Wasim Haidhar Bin Mohamed Slime
AU  - Yee Shen Pang
AU  - Chyi Shing Chua
PY  - 2022
DA  - 2022/12/23
TI  - IoT Based Drip Irrigation and Soil Monitoring System
BT  - Proceedings of the Multimedia University Engineering Conference (MECON 2022)
PB  - Atlantis Press
SP  - 213
EP  - 228
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-082-4_22
DO  - 10.2991/978-94-6463-082-4_22
ID  - BinMohamedSlime2022
ER  -