Real-time infrared image processing for greenhouse system
An application of remote sensing with infrared imaging in greenhouse systems has been developed.
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Providing microclimate conditions in greenhouse systems is very important in terms of growing desired products. In addition, remote sensing and data analysis processes need to be developed and expanded to perform fast and perfect monitoring and control in these systems. An application of remote sensing with infrared imaging in greenhouse systems has been developed. It is proposed to obtain the mean temperature inside the greenhouse via infrared images, the air relative humidity with psychrometric chart application, and the soil moisture values with the multiple regression analysis method. The control and monitoring of automatic irrigation, heating, humectation, ventilation, and lighting systems were carried out via the MATLAB– GUI interface.
Citar como
Katırcıoğlu, F. (2020). Real-time infrared image processing for control and monitoring of greenhouse system. Journal of Applied Remote Sensing, 14(2), 026503.
Katırcıoğlu, Ferzan. “Real-Time Infrared Image Processing for Control and Monitoring of Greenhouse System.” Journal of Applied Remote Sensing, vol. 14, no. 02, SPIE-Intl Soc Optical Eng, Apr. 2020, p. 1, doi:10.1117/1.jrs.14.026503.
Información general
- Versión 1.0.0 (1,4 MB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.0.0 |
