Przybył, K.; Wawrzyniak, J.; Koszela, K.; Adamski, F.; Gawrysiak-Witulska, M.
Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed. Sensors 2020, 20, 7305.
https://doi.org/10.3390/s20247305
AMA Style
Przybył K, Wawrzyniak J, Koszela K, Adamski F, Gawrysiak-Witulska M.
Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed. Sensors. 2020; 20(24):7305.
https://doi.org/10.3390/s20247305
Chicago/Turabian Style
Przybył, Krzysztof, Jolanta Wawrzyniak, Krzysztof Koszela, Franciszek Adamski, and Marzena Gawrysiak-Witulska.
2020. "Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed" Sensors 20, no. 24: 7305.
https://doi.org/10.3390/s20247305
APA Style
Przybył, K., Wawrzyniak, J., Koszela, K., Adamski, F., & Gawrysiak-Witulska, M.
(2020). Application of Deep and Machine Learning Using Image Analysis to Detect Fungal Contamination of Rapeseed. Sensors, 20(24), 7305.
https://doi.org/10.3390/s20247305