Instrumentation et métrologie

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https://dspace.univ-oran1.dz/handle/123456789/4625

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Parcourir la collection Instrumentation et métrologie par Auteur "Belharizi Nesrine"

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    An IOT Irrigation System using machine Learning
    (2024) Belharizi Nesrine
    This master thesis presents a smart irrigation system for small farmer communities (SFCs) designed to optimize water use in agriculture through advanced sensor technologies and machine learning (ML) techniques. The system employs Internet of Things (IoT) components, including low-cost sensors such as the capacitive gravity SEN0308, water tension irrometer watermark, and DHT22. An Arduino Uno collects sensor data and transmits it via LoRa communication to an Arduino Mega 2560, which controls a valve and water flow sensor. ML integration enables real-time analysis and decision-making to prevent over-irrigation by considering soil moisture, temperature, humidity, and historical patterns. The system enhances water efficiency, reduces labor costs, and improves crop yields, thereby contributing to sustainable agricultural practices.