Abstract
Oncidium is one of the essential flower crops in Taiwan. However, climate change and its impacts on extreme weather reduce our Oncidium harvest. Therefore, it is necessary to define the spatial relationship between weather and Oncidium production. Here we apply the Kriging method and ten weather station datasets in Taichung, Taiwan, to estimate the weather conditions for our study area. Six most common spatial panel models (OLS, Spatial Error, Spatial Lag, and Spatial Autoregressive with fixed effect extensions) were used to estimate the spatial impacts of weather on flower productions. The weather factors here are temperature, relative humidity, pressure, and precipitation. Overall, the results show that several weather variables have significantly positive impacts on Oncidium production, such as temperature. This study could be used to evaluate the potential future effects of climate change in the Oncidium industries. Also, the results might be helpful for future environmental setting in Oncidium greenhouse.
| Original language | English |
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| Publication status | Published - 2020 |
| Event | 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of Duration: 2019 Oct 14 → 2019 Oct 18 |
Conference
| Conference | 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 |
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| Country/Territory | Korea, Republic of |
| City | Daejeon |
| Period | 19-10-14 → 19-10-18 |
All Science Journal Classification (ASJC) codes
- Information Systems
