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Study on an agricultural environment monitoring server system using Wireless Sensor Networks
Jeonghwan Hwang1, Changsun Shin, Hyun Yoe
1School of Information and Communication Engineering, Sunchon National University, Maegok-dong, Suncheon-si, Jeollanam-do, Korea. jhwang@sunchon.ac.kr
Sensors (Basel, Switzerland)
|December 14, 2011
Summary
This study introduces a Wireless Sensor Network (WSN) system for remote agricultural monitoring, integrating environmental, soil, and image data. The system supports data-driven decisions to enhance crop yield and quality.
Area of Science:
- Agricultural Engineering
- Environmental Monitoring
- Sensor Networks
Background:
- Traditional agricultural practices often lack real-time environmental data, hindering optimal crop management.
- Remote and outdoor agricultural environments frequently face challenges with power infrastructure for monitoring systems.
Purpose of the Study:
- To propose and detail an agricultural environment monitoring server system.
- To leverage Wireless Sensor Network (WSN) technology for comprehensive outdoor farm data collection.
- To enhance decision-making for crop producers through accessible, analyzed environmental data.
Main Methods:
- Utilized Wireless Sensor Network (WSN) technology for collecting environmental and soil data.
- Integrated CCTV for image data and GPS modules for location tracking.
- Developed a server system with specialized managers (sensor, image, GPS) to process and database collected information.
- Implemented a solar cell-based power supply for operational continuity in areas with limited power.
Main Results:
- Successfully established a system for collecting diverse agricultural environmental data remotely.
- Created a centralized database accessible to producers, integrating sensor, image, and location information.
- Demonstrated the system's capability to operate independently using solar power, overcoming infrastructure limitations.
Conclusions:
- The proposed agricultural environment monitoring server system effectively collects and manages critical outdoor farm data.
- Remote monitoring and data analysis support informed decision-making, potentially increasing crop yields and improving quality.
- The solar-powered design ensures applicability in diverse agricultural settings, promoting sustainable farming practices.