An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran.

MLA

Garajeh, Mohammad Kazemi, et al. “An Automated Deep Learning Convolutional Neural Network Algorithm Applied for Soil Salinity Distribution Mapping in Lake Urmia, Iran.” The Science of the Total Environment, vol. 778, July 2021, p. 146253. EBSCOhost, https://doi.org/10.1016/j.scitotenv.2021.146253.

APA

Garajeh, M. K., Malakyar, F., Weng, Q., Feizizadeh, B., Blaschke, T., & Lakes, T. (2021). An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran. The Science of the Total Environment, 778, 146253. https://doi.org/10.1016/j.scitotenv.2021.146253

Chicago

Garajeh, Mohammad Kazemi, Farzad Malakyar, Qihao Weng, Bakhtiar Feizizadeh, Thomas Blaschke, and Tobia Lakes. 2021. “An Automated Deep Learning Convolutional Neural Network Algorithm Applied for Soil Salinity Distribution Mapping in Lake Urmia, Iran.” The Science of the Total Environment 778 (July): 146253. doi:10.1016/j.scitotenv.2021.146253.