Bi, L.; Hu, G.; Raza, M.M.; Kandel, Y.; Leandro, L.; Mueller, D.
A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery. Remote Sens. 2020, 12, 3621.
https://doi.org/10.3390/rs12213621
AMA Style
Bi L, Hu G, Raza MM, Kandel Y, Leandro L, Mueller D.
A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery. Remote Sensing. 2020; 12(21):3621.
https://doi.org/10.3390/rs12213621
Chicago/Turabian Style
Bi, Luning, Guiping Hu, Muhammad Mohsin Raza, Yuba Kandel, Leonor Leandro, and Daren Mueller.
2020. "A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery" Remote Sensing 12, no. 21: 3621.
https://doi.org/10.3390/rs12213621
APA Style
Bi, L., Hu, G., Raza, M. M., Kandel, Y., Leandro, L., & Mueller, D.
(2020). A Gated Recurrent Units (GRU)-Based Model for Early Detection of Soybean Sudden Death Syndrome through Time-Series Satellite Imagery. Remote Sensing, 12(21), 3621.
https://doi.org/10.3390/rs12213621