Year: 2025
Type: article
Abstract: A greenhouse provides a controlled environment to optimize plant growth by regulating key factors such as temperature, humidity, light, and soil moisture. This project introduces an IoT and Arduino-based greenhouse monitoring system that automates environmental control to enhance agricultural efficiency. The system incorporates sensors for temperature, humidity, soil moisture, and light intensity, enabling real-time monitoring and automation. A Raspberry Pi processes data and controls components like a DC fan, bulb, and water pump to maintain optimal conditions. The soil moisture sensor triggers irrigation, while the LDR sensor controls lighting in low-light conditions. An IoT module transmits sensor data every 30 seconds, allowing remote monitoring and control. By integrating automation, the system reduces manual labor, optimizes resource utilization, and enhances crop yield. This technology-driven approach promotes sustainable farming by minimizing water and energy wastage while ensuring year-round plant growth. Keywords— Greenhouse automation, IoT monitoring, soil moisture control, temperature regulation, smart irrigation etc.
DOI: 10.55041/ijsrem44038
Institution: Priyadarshini College of Engineering
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4409278594