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Comparing Kriging Estimators Using Weather Station Data and Local Greenhouse Sensors
Pei-Fen Kuo1, Tzu-En Huang1, I Gede Brawiswa Putra1
1Geomatics Department, National Cheng Kung University, Tainan 701, Taiwan.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
Farmers can monitor greenhouse conditions using on-site sensors or nearby weather stations. While on-site sensors offer higher accuracy for critical crop management, weather station data provides an acceptable alternative for environmental monitoring.
Area of Science:
- Agricultural Science
- Environmental Monitoring
- Data Science
Background:
- Climate change necessitates accurate environmental monitoring for crop production.
- On-site sensors and weather stations are common data collection methods.
- On-site sensors are accurate but costly; weather stations are accessible but potentially inaccurate due to distance.
Purpose of the Study:
- To compare the accuracy of weather station data with on-site sensors for greenhouse environmental monitoring.
- To evaluate the effectiveness of kriging estimators for interpolating temperature data.
Main Methods:
- Spatio-temporal kriging was used to interpolate temperature data.
- Kriging estimators from Central Weather Bureau data were compared to local greenhouse sensors.
- Temperature data accuracy was validated against real-time measurements at the greenhouse center.
Main Results:
- Local sensors provided slightly more accurate temperature estimations than weather station data.
- The accuracy of weather station estimators was found to be marginally lower than local sensors.
- Spatio-temporal kriging demonstrated a viable method for interpolating environmental data.
Conclusions:
- On-site sensors are recommended for precise environmental data collection in greenhouses.
- Weather station data, when on-site sensors are not feasible, offers an acceptable alternative for farmers.
- Accurate environmental monitoring is crucial for mitigating climate change impacts on sensitive crops.
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