Publication: Development of an iot based environmental monitoring system for smart farming
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering::Electrical and electronic engineering | |
| dc.contributor.author | Yugendran, Sreetharan | |
| dc.date.accessioned | 2025-04-07T07:38:55Z | |
| dc.date.available | 2025-04-07T07:38:55Z | |
| dc.date.issued | 2023-08 | |
| dc.description.abstract | This thesis presents the development of an IoT-based environmental monitoring system for smart greenhouse farming. The growing global population and its increasing food demands present significant challenges to the agriculture industry. Climate change, soil degradation, and limited resources further compound these challenges. To address these issues, innovative technologies are urgently required to improve the efficiency and productivity of farming practices. This paper proposes a comprehensive system that addresses existing research gaps by incorporating sensors for carbon dioxide gas, air quality, and UV light, in addition to commonly used sensors for temperature, humidity, and soil moisture. The core of the system is an ESP32 microcontroller that collects data from the sensors and transmits it to a cloud server via Wi-Fi. A WebDashboard and Mobile Application are created using the Blynk platform to display sensor data, control actuators, and set alarms.The carbon dioxide gas sensor measures the CO2 concentration, crucial for plant growth but potentially harmful if levels exceed optimal thresholds. The UV light sensor monitors light intensity, influencing plant growth and development. Automated control of the water pump, cooling fan, and ventilation fan is based on sensor readings, while manual control of the actuators provides flexibility for farmers. Water management is facilitated through a water flow sensor. Notifications are sent to the farmer's mobile phone and Web Dashboard for abnormal gas presence or failure to achieve desired CO2 concentrations. Additionally, the system incorporates a deep sleep mode to conserve and enhance battery life. By effectively monitoring and controlling the a small-scale prototype greenhouse environment, the proposed system offers a comprehensive solution that provide invaluable insights and validation before potential implementation in real-world greenhouse settings | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/21444 | |
| dc.language.iso | en | |
| dc.title | Development of an iot based environmental monitoring system for smart farming | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |