Technological Advances in Bamboo Health Monitoring: A Review of IoT-Based Sensing and AI-Driven Prediction Models

International Journal of Electronics and Communication Engineering

© 2026 by SSRG - IJECE Journal

Volume 13 Issue 3

Year of Publication : 2026

Authors : Sadhana Santosh, Anita Gehlot, Rajesh Singh, Rahul Mahala

10.14445/23488549/IJECE-V13I3P106

How to Cite?

Sadhana Santosh, Anita Gehlot, Rajesh Singh, Rahul Mahala, "Technological Advances in Bamboo Health Monitoring: A Review of IoT-Based Sensing and AI-Driven Prediction Models," SSRG International Journal of Electronics and Communication Engineering, vol. 13,  no. 3, pp. 71-83, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I3P106

Abstract:

Bamboo is a renewable and fast-growing resource that provides a crucial ecosystem service, which supports livelihoods and also contributes to climate change mitigation by means of carbon sequestration. Regardless of its economic and ecological importance, the function of bamboo health and the ecosystem is still understudied comparatively, particularly under increasing pressures from pests, environmental stress, expansion, and overexploitation. The aim of this review is to identify the important health indicators and ecosystem services of Bamboo by exploring IoT and vision-based technologies for monitoring the health of Bamboo and analyzing the application of Machine Learning and Artificial Intelligence for assessment and prediction of bamboo health. The review highlights the recent advances in technologies like remote sensing, camera based monitoring, and analytics, which are drawn using AI to help in real-time, non-invasive, and scalable assessment of bamboo health. Deep learning and Machine Learning Models notably boost the detection of pests, growth dynamics, and stress. These data-driven and integrated approaches offer an effective decision support for sustainable bamboo management, which strengthens ecosystem resilience and promotes climate-resilient bamboo-based development.

Keywords:

Bamboo Health Monitoring, Ecosystem Services, Computer Vision, Machine Learning, Sustainable Bamboo Management.

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