IoT-based smart irrigation management system using real-time data

Abstract

<p>An adequate water supply is essential for the growth and development of crops. When rainfall is insufficient, irrigation is necessary to meet crop water needs. It is a crucial and strategic aspect of economic and social development. To combat climate change, there is a need to adopt irrigation management techniques that increase and stabilize agricultural production while saving water, using intelligent agricultural water technologies. Internet of things (IoT) based technologies can achieve optimal use of water resources. This article introduces a smart realtime irrigation management system based on the internet of things. It provides optimal management of irrigation decisions using real-time weather and soil moisture data, as well as data from precipitation forecasts. The proposed algorithm is developed in real-time based on the IoT, enabling us to guide irrigation and control the amount of water in agricultural applications. The system uses real-time data analysis of climate, soil, and crop data to provide flexible planning of the irrigation system’s use. A case study from the Fez-Meknes region in Morocco is presented to demonstrate the proposed system’s effectiveness</p>

Next-gen security in IIoT: integrating intrusion detection systems with machine learning for industry 4.0 resilience

“…Leveraging ML algorithms like XGBoost and MLP, the study aims to enhance cybersecurity by detecting and mitigating evolving cyber threats in real-time. In agriculture, real-time anomaly detection will safeguard equipment and automated systems against cyberattacks, while in smart cities, it will protect critical infrastructure and citizen data from malicious activities [30], [31]. Similarly, in smart universities, real-time anomaly detection will secure student and administrative data and campus facilities against unauthorized access and cyber breaches [32].…”