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2024 | OriginalPaper | Chapter

Agricultural Monitoring and Control of a System Using Smart IoT Devices

Authors : Y. Padma, M. Sailaja, Shaik Razia, Mohammed Ali Hussain

Published in: Modern Approaches in IoT and Machine Learning for Cyber Security

Publisher: Springer International Publishing

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Abstract

The chapter 'Agricultural Monitoring and Control of a System Using Smart IoT Devices' delves into the innovative application of IoT technology in agriculture. It introduces a model that uses sensors, Raspberry Pi, and mobile applications to monitor soil moisture, temperature, and humidity in real time. The system automates irrigation by analyzing data and activating pumps as needed. The use of K-Nearest Neighbors (KNN) classifiers for data analysis allows for precise decision-making based on historical data. The chapter also covers the setup of the IFTT app for rain alerts and pH monitoring, ensuring comprehensive field management. The proposed model aims to improve crop yield and efficiency, making it a valuable resource for professionals looking to integrate smart technology into agricultural practices.
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previous chapter IoT-Based Smart Irrigation System
next chapter An IoT Framework to Support Rural Population with Diabetic Related Issues via Optimization Algorithms
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Metadata
Title
Agricultural Monitoring and Control of a System Using Smart IoT Devices
Authors
Y. Padma
M. Sailaja
Shaik Razia
Mohammed Ali Hussain
Copyright Year
2024
Book
Modern Approaches in IoT and Machine Learning for Cyber Security

Print ISBN: 978-3-031-09954-0

Electronic ISBN: 978-3-031-09955-7

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-09955-7_25

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