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@article{169261,
        author = {MADREWAR OM JITENDRA and Kothari Manav Rajendra and Patrawala Muffadal Shabbir and Patil Shreyas Vijay and Prof. M. S. Bhosale},
        title = {Tree Health Monitoring And Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1170-1174},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169261},
        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.},
        keywords = {},
        month = {November},
        }