Design and Implementation of a Smart Solar Irrigation System Using IoT and Machine Learning

Water scarcity is a major challenge in the agriculture industry, and traditional irrigation methods are often wasteful and inefficient. To address this challenge, a smart solar irrigation system that uses loT and Artificial Neural Network (ANN) algorithms can optimize water usage for agriculture. Th...

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Bibliographic Details
Published in:E3S web of conferences 2023-01, Vol.387, p.5012
Main Authors: B., Anitha, P., Jeyakani, V., Mahalakshmi, Shalini, S., R., Senthil kumar
Format: Article
Language:English
Subjects:
Agricultural wastes
Agriculture
Algorithms
Artificial neural networks
automation
Crop yield
iot
Irrigation
Irrigation systems
Machine learning
Neural networks
Sensors
smart irrigation
Solar energy
Solar panels
Storage tanks
Water consumption
Water scarcity
Water storage
Water use
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Summary:Water scarcity is a major challenge in the agriculture industry, and traditional irrigation methods are often wasteful and inefficient. To address this challenge, a smart solar irrigation system that uses loT and Artificial Neural Network (ANN) algorithms can optimize water usage for agriculture. The system can provide automated irrigation, improve crop yields, and reduce water consumption. This paper proposes a design and implementation methodology of a smart solar irrigation system using loT and ANN algorithms. The system includes solar panels, a water pump, a water storage tank, sensors, loT devices, and ANN algorithms. The system is designed to automate the irrigation process by controlling the water pump based on the data collected from the sensors.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202338705012