Smart Agriculture: IoT-Based Light Intensity and Temperature Monitoring System for Plant Health Management
Keywords:
IoT, Light intensity monitoring, Precision agriculture, Precision farming, Smart agriculture, Soil moisture monitoring, Temperature monitoringAbstract
Agriculture remains the backbone of human civilization, yet modern cultivation faces numerous challenges due to climate variability, unmonitored microenvironments, and limited access to advanced farming technologies for small-scale growers. Environmental parameters such as light intensity and temperature play a critical role in plant growth, influencing key processes like photosynthesis, transpiration, and flowering. Traditional manual methods of monitoring are labor-intensive and often inaccurate, leading to inefficiencies in plant care and lower yields. This research introduces an IoT-based solution designed to monitor and report environmental data specifically light intensity and temperature in real-time.
The system is built using cost-effective sensors (LDR and DHT11) and a Wi-Fi-enabled ESP8266 microcontroller to capture environmental data. The data is transmitted to cloud platforms such as ThingSpeak or Blynk, where it is stored, visualized, and analyzed. A user-friendly mobile or web interface allows remote monitoring and threshold-based alerts. The system was tested in indoor and semi-outdoor environments over a two-week period. Results demonstrate its reliability, responsiveness, and potential as a scalable solution for smart agriculture, especially in small-scale or urban farming contexts.
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