Tree Health Monitoring and Management System using IoT

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MADREWAR OM JITENDRA; Manav Rajendra Kothari; Muffadal Shabbir Patrawala; Harshada Machindra Pote; Prof. Madhavi Bhosale

Tree Health Monitoring and Management System using IoT

Authors: MADREWAR OM JITENDRA, Manav Rajendra Kothari, Muffadal Shabbir Patrawala, Harshada Machindra Pote, Prof. Madhavi Bhosale

Unique Paper ID: 180613
Volume: 12
Issue: 1
PageNo: 1758-1762

Keywords: LoRaWAN HNN UTHI edge computing remote sensing ThingSpeak.

Abstract:
This paper explores innovative approaches to environmental and tree health monitoring using IoT, machine learning, and advanced communication systems. A LoRaWAN-based sensor system for urban trees collects real-time data on soil moisture, temperature, and humidity, improving tree management. Another study focuses on an IoT system for coconut trees, enhancing remote agricultural decision-making. A heterogeneous neural network (HNN) predicts the Urban Tree Health Index (UTHI) with high accuracy, automating tree assessments. Lastly, a hybrid edge computing and LoRa architecture enables real-time forest monitoring, addressing challenges like deforestation and climate change. Together, these technologies promote sustainable forestry and tree health management.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 1758-1762

Tree Health Monitoring and Management System using IoT

Available:https://ijirt.org/article?manuscript=180613

05 Nov, 2024

Tree Health Monitoring And Management System

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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