International Journal on Science and Technology

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Smart Plant Health Monitoring System

Author(s) Pavan, Shashidhar S P, Pallavi H S
Country India
Abstract The Smart Plant Health Monitoring System utilizes IoT sensors, machine learning, and automated irrigation to monitor soil moisture, temperature, humidity, and plant diseases in real-time. It provides early detection of issues, automated alerts, and optimized water usage, helping farmers improve crop health and productivity. This system ensures efficient resource management and supports sustainable precision farming. The proposed IoT plant health monitoring system offers several advantages over traditional styles, including reduced labor costs, early discovery of plant stressors, and optimized resource application. also, it facilitates data driven perceptivity that empower growers to make informed opinions to ameliorate crop yield and quality. The system is designed to be user-friendly, allowing individualities to cover their shops ever through a web interface. exercising Internet of effects (IoT) principles. The captured visual data is anatomized to descry anomalies, conditions, or stress plant in advancement of smart plant Health monitoring and sustainable plant care practices. preface husbandry's purpose is the parentage and nurturing creatures, and other organisms, similar as fungi, in order to produce biofuel, food, fiber, medicinal shops, in addition to other goods that profit and support living brutes.
Keywords The Smart Plant Health Monitoring System, IoT sensors, Machine learning, and Automated irrigation, Soil Moisture, Temperature, Humidity, and Plant diseases in real-time, Early detection of issues, Automated alerts.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-04
Cite This Smart Plant Health Monitoring System - Pavan, Shashidhar S P, Pallavi H S - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3268
DOI https://doi.org/10.71097/IJSAT.v16.i2.3268
Short DOI https://doi.org/g9drdk
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