Skovsen, S.; Dyrmann, M.; Mortensen, A.K.; Steen, K.A.; Green, O.; Eriksen, J.; Gislum, R.; Jørgensen, R.N.; Karstoft, H.
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors 2017, 17, 2930.
https://doi.org/10.3390/s17122930
AMA Style
Skovsen S, Dyrmann M, Mortensen AK, Steen KA, Green O, Eriksen J, Gislum R, Jørgensen RN, Karstoft H.
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors. 2017; 17(12):2930.
https://doi.org/10.3390/s17122930
Chicago/Turabian Style
Skovsen, Søren, Mads Dyrmann, Anders Krogh Mortensen, Kim Arild Steen, Ole Green, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, and Henrik Karstoft.
2017. "Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks" Sensors 17, no. 12: 2930.
https://doi.org/10.3390/s17122930
APA Style
Skovsen, S., Dyrmann, M., Mortensen, A. K., Steen, K. A., Green, O., Eriksen, J., Gislum, R., Jørgensen, R. N., & Karstoft, H.
(2017). Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors, 17(12), 2930.
https://doi.org/10.3390/s17122930