Article Versions Notes

Lukas V, Huňady I, Kintl A, Mezera J, Hammerschmiedt T, Sobotková J, Brtnický M, Elbl J. Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage. Remote Sensing. 2022; 14(19):4953. https://doi.org/10.3390/rs14194953

Lukas, Vojtěch, Igor Huňady, Antonín Kintl, Jiří Mezera, Tereza Hammerschmiedt, Julie Sobotková, Martin Brtnický, and Jakub Elbl. 2022. "Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage" Remote Sensing 14, no. 19: 4953. https://doi.org/10.3390/rs14194953

Lukas, V., Huňady, I., Kintl, A., Mezera, J., Hammerschmiedt, T., Sobotková, J., Brtnický, M., & Elbl, J. (2022). Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage. Remote Sensing, 14(19), 4953. https://doi.org/10.3390/rs14194953