Automated Irrigation System Using IoT Cloud Computing
Keywords:
IOT, Smart Garden, Arduino Mega, ThingSpeak, Cloud ComputingAbstract
In India 85% freshwater is used in agriculture worldwide. This percentage continues to be leading in water consumption. The population evolution and increased food demand is one of primary factor of water maximum utilization. Therefore, primarily agriculture be contingent on monsoon, that is not a adequate source of water. So, irrigation is lively in the agriculture zone. The development of monitoring and observing the garden can now be transformed from manual and static to smart and dynamic, which centres on higher convertibility, water using productivity, and less human supervision effort. This is possible thanks to the ongoing development of artificial intelligence, IOT, and robotics. This essay focuses on a Mega 2560-based Internet of Things (IOT) computing, smart garden surveying, and watering system. The suggested system makes use of a cloud server, sensors, and a microcontroller to deliver real-time online content over a WiFi network. The observed data was continuously sent to the IOT cloud of Thing Speak. The system's cloud-based data is looked at and analysed.. The smart irrigation system is instructed to irrigate the garden when the target threshold for soil moisture is reached. The Arduino Mega 2560 microcontroller is used to construct the control unit. The main purpose of IOT is to remind the garden owner where to place the sprinklers. The sensors on the IOT cloud frequently update the data. In addition to this, the sensors send readings to a cloud channel where they are converted into graphs and sent for analysis.
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Alauddin Al-Omary, Haider M. AlSabbagh, Hussain Al-Rizzo, Cloud based IoT for Smart Garden Watering System using Arduino Uno, Conference Paper, April 2018.
Prof. P. S. Bangar, Ruturaj Patil, Zia Khatib, Indrajit Kadu & Kaustubh Mangalgiri, Automated Drip Irrigation System Using Cloud Computing, Imperial Journal of Interdisciplinary Re-search (IJIR), Vol-2, Issue-6, 2016.
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Joaquin Guitierrez, Juan Fransisco Villa – Medina, Alejandra Nieto- Garibay, Automated Irrigation System Using a Wireless Sensor Network and GPRS Module, IEEE Transactions on Instrumentation and Measurement, Volume 63, No 1, January 2014
Er. Sukhjit Singh, Er. Neha Sharma, Research Paper on Drip Irrigation Management using Wireless Sensors, IRACST, Volume 2, No. 4, Aug 2012.
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