Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review

Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review

This systematic review critically evaluates the current state and future potential of real-time, end-to-end smart, and automated irrigation management systems, focusing on integrating the Internet of Things (IoTs) and machine learning technologies for enhanced agricultural water use efficiency and c...

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Bibliographic Details
Main Authors: Bryan Nsoh, Abia Katimbo, Hongzhi Guo, Derek M. Heeren, Hope Njuki Nakabuye, Xin Qiao, Yufeng Ge, Daran R. Rudnick, Joshua Wanyama, Erion Bwambale, Shafik Kiraga
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
precision irrigation
sensor networks
artificial intelligence
precision agriculture
water use efficiency
crop productivity
Online Access:https://www.mdpi.com/1424-8220/24/23/7480
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