Automated Irrigation System Based on LoRa and ML for Marginal Farmers

Author(s): Selvam Loganathan*, Kavitha Perumal

Journal Name: International Journal of Sensors, Wireless Communications and Control

Volume 10 , Issue 3 , 2020

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Graphical Abstract:


Background & Objective: India is one of the foremost agricultural producers in the world; on the other hand, the consumption of water for agricultural purposes in India has been among the highest in the world. Indiscriminate use of inadequate irrigation techniques has led to a critical water deficit in the country. Now with the development of (IoT) Precision Farming and Precision Irrigation are becoming very popular. This paper proposes a cost-effective Automated Irrigation System based on LoRa and Machine Learning, which can be of great help to marginal farmers, for whom agriculture is hardly a profitable venture, mainly due to water scarcity.

Methods: In this automated system, LoRa technology is used in Sensor and Irrigation node, in which sensors collect data on soil moisture and temperature and send it to the server through a LoRa gateway. Then the data is fed into a Machine Learning algorithm, which leads to correct prediction of the soil status.

Results: Hence, the field needs to be irrigated only if and when it is needed.

Conclusion: The system can be remotely monitored using a web application that can be accessed by a mobile phone.

Keywords: Agriculture, automated irrigation system, farming, IoT, lora, machine learning.

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Article Details

Year: 2020
Published on: 02 November, 2020
Page: [345 - 353]
Pages: 9
DOI: 10.2174/2210327909666190409123331
Price: $25

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