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.
Graphical Abstract
[http://dx.doi.org/10.1016/S0168-1699(02)00096-0]
[http://dx.doi.org/10.1109/ICSENS.2015.7370624]
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