
Automatic Remote Farm Irrigation System with WSN and Weather Forecasting
Author(s) -
Aditya Kilaru,
Prem Madishetty,
Harsha Vardhan Naidu Yamala,
C V Giriraja
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2161/1/012075
Subject(s) - default gateway , wireless sensor network , computer science , computer network , node (physics) , real time computing , tree (set theory) , energy consumption , the internet , gateway (web page) , distributed computing , engineering , operating system , mathematical analysis , mathematics , electrical engineering , structural engineering , world wide web
The paper showcases the system used for automating agriculture using wireless sensor network (WSN) and weather prediction. WSN, is more efficient than IoT as it avoids connecting all the sensor nodes directly to Internet, thus reducing the traffic over Internet and energy consumption of the sensor network. The system consists of a clustered tree topology to increase the range of operation, connectivity and easily connect new nodes dynamically. The sensor nodes being the leaves, local gateways being the branches and the global gateway being the root node. The system is implemented using cost effective micro-controllers, robust communication modules and reliable data showcasing platforms. Our implementation uses weather prediction to minimize the water needed for irrigation. Thereby minimizing cost and increasing efficient usage of resources.