Autonomous Irrigation System
M. Murali1, Akshay Kumar2, Mohit Khare3
1M. Murali, Assistant Professor, Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
2Akshay Kumar, UG student, Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
3Mohit Khare, UG student, Department of Computer Science Engineering, SRM Institute of Science and Technology, Kattankulathur (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 2075-2079 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2797037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: India is an agriculture based country and it needs a smart and efficient way of irrigation to prevent wastage of water as water table in many regions of the country are already depleting at a serious level. In this paper, implementation of a system which has multiple sensors connected to a control module to regulate outflow of water in an irrigation system is shown. The paper shows a Raspberry Pi based system which takes input from sensors like humidity sensor, soil moisture sensor, barometer etc. to regulate the water output to the irrigation field. Multiple sensors are scattered over the field. The sensors in the field sense the moisture of the soil and signals it back to the microcontroller. The control module then irrigates the field according to the water requirement based on the sensor data. The model of an autonomous irrigation system also implementing machine learning is presented for rural areas. The aim of the autonomous irrigation system and its implementation is to effectively irrigate agricultural fields preventing water wastage
Keywords: Irrigation, soil moisture, Sensor, Agriculture, Farming.
Scope of the Article: Autonomous Robots