Dillner, R.P.; Wimmer, M.A.; Porten, M.; Udelhoven, T.; Retzlaff, R.
Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines. Sensors 2025, 25, 431.
https://doi.org/10.3390/s25020431
AMA Style
Dillner RP, Wimmer MA, Porten M, Udelhoven T, Retzlaff R.
Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines. Sensors. 2025; 25(2):431.
https://doi.org/10.3390/s25020431
Chicago/Turabian Style
Dillner, Ronald P., Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, and Rebecca Retzlaff.
2025. "Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines" Sensors 25, no. 2: 431.
https://doi.org/10.3390/s25020431
APA Style
Dillner, R. P., Wimmer, M. A., Porten, M., Udelhoven, T., & Retzlaff, R.
(2025). Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines. Sensors, 25(2), 431.
https://doi.org/10.3390/s25020431
