APA (7th ed.) Citation

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. MDPI AG.

Chicago Style (17th ed.) Citation

Dillner, Ronald P., Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, and Rebecca Retzlaff. 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. MDPI AG.

MLA (9th ed.) Citation

Dillner, Ronald P., et al. 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. MDPI AG.