Green House Monitoring and Control Using Arduino
In the contemporary era of rapid urbanization and climate change, the efficient monitoring and control of environmental parameters within greenhouses are paramount for maximizing crop yields and ensuring sustainable agricultural practices. This project proposes a comprehensive and technically sophisticated solution for greenhouse monitoring and control, utilizing Arduino microcontrollers integrated with various sensors. The system is designed to monitor critical environmental factors such as temperature, humidity, soil moisture, light intensity, and carbon dioxide levels. These parameters are crucial for maintaining optimal plant growth conditions. The real-time data collected by the sensors is processed by the Arduino microcontroller, which then activates the appropriate actuators— such as fans, heaters, misters, and irrigation systems—based on predefined thresholds. This process ensures the maintenance of ideal growing conditions within the greenhouse. Moreover, the system incorporates advanced wireless communication capabilities, enabling remote monitoring and control through a smartphone or computer interface. This feature allows for real-time adjustments and continuous oversight, enhancing the responsiveness and efficiency of the greenhouse management system. The integration of IoT technologies not only facilitates automated control but also provides valuable insights through data analytics, aiding in the prediction of future environmental conditions and optimization of resource usage. The proposed system represents a significant advancement in agricultural technology, offering a scalable and customizable solution that can be tailored to various greenhouse setups and crop requirements. By leveraging the power of data-driven insights and automation, this project contributes to more sustainable and resilient agricultural practices, ultimately aiming to improve food security in the face of global challenges.
Authors
- S Swetha
- Madhu
- Abrar Abdul-Hameed
- Abbas Nuaithal Nema
- Ananthu Poojitha
- CH.Yellender
Institutions
- Al-Nisour University College (IQ)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/ariia63345.2024.11051652
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00