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Tree Health Monitoring And Management System

  • Unique Paper ID: 169261
  • Volume: 11
  • Issue: 6
  • PageNo: 1170-1174
  • 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: 11
  • Issue: 6
  • PageNo: 1170-1174

Tree Health Monitoring And Management System

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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