AI-SMART PLANT HEALTH MONITORING SYSTEM USING DEEP LEARNING
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The increasing demand for food production has made efficient plant health monitoring a critical aspect of modern agriculture. Traditional methods rely on manual inspection, which is time-consuming and often inaccurate. This paper proposes an AI-based smart plant health monitoring system that integrates Internet of Things (IoT) sensors with deep learning techniques to enable real-time monitoring and early detection of plant diseases. Environmental parameters such as temperature, humidity, and soil moisture are continuously collected using IoT devices, while leaf images are analyzed using a Convolutional Neural Network (CNN) model for accurate disease classification
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E, A., J, S. J. & S, A. (2026). AI-Smart Plant Health Monitoring System using Deep Learning. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.019
E, Abitha, et al.. "AI-Smart Plant Health Monitoring System using Deep Learning." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.019.
E, Abitha,Sruthi J, and Akesh S. "AI-Smart Plant Health Monitoring System using Deep Learning." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.019.
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