Pejak, B.; Lugonja, P.; Antić, A.; Panić, M.; Pandžić, M.; Alexakis, E.; Mavrepis, P.; Zhou, N.; Marko, O.; Crnojević, V.
Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data. Remote Sens. 2022, 14, 2256.
https://doi.org/10.3390/rs14092256
AMA Style
Pejak B, Lugonja P, Antić A, Panić M, Pandžić M, Alexakis E, Mavrepis P, Zhou N, Marko O, Crnojević V.
Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data. Remote Sensing. 2022; 14(9):2256.
https://doi.org/10.3390/rs14092256
Chicago/Turabian Style
Pejak, Branislav, Predrag Lugonja, Aleksandar Antić, Marko Panić, Miloš Pandžić, Emmanouil Alexakis, Philip Mavrepis, Naweiluo Zhou, Oskar Marko, and Vladimir Crnojević.
2022. "Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data" Remote Sensing 14, no. 9: 2256.
https://doi.org/10.3390/rs14092256
APA Style
Pejak, B., Lugonja, P., Antić, A., Panić, M., Pandžić, M., Alexakis, E., Mavrepis, P., Zhou, N., Marko, O., & Crnojević, V.
(2022). Soya Yield Prediction on a Within-Field Scale Using Machine Learning Models Trained on Sentinel-2 and Soil Data. Remote Sensing, 14(9), 2256.
https://doi.org/10.3390/rs14092256