Automated Irrigation System Based on LoRa and ML for Marginal Farmers

Title:Automated Irrigation System Based on LoRa and ML for Marginal Farmers

Volume: 10 Issue: 3

Author(s): Selvam Loganathan*Kavitha Perumal

Affiliation:

• Department of Computer Science, Loyola College, Vettavalam, Tiruvannamalai Dt,India

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

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.

Cite this article as:

Loganathan Selvam *, Perumal Kavitha , Automated Irrigation System Based on LoRa and ML for Marginal Farmers, International Journal of Sensors, Wireless Communications and Control 2020; 10 (3) . https://dx.doi.org/10.2174/2210327909666190409123331