Orduna-Cabrera, F.; Sandoval-Gastelum, M.; McCallum, I.; See, L.; Fritz, S.; Karanam, S.; Sturn, T.; Javalera-Rincon, V.; Gonzalez-Navarro, F.F.
Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies 2023, 3, 563-573.
https://doi.org/10.3390/geographies3030029
AMA Style
Orduna-Cabrera F, Sandoval-Gastelum M, McCallum I, See L, Fritz S, Karanam S, Sturn T, Javalera-Rincon V, Gonzalez-Navarro FF.
Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies. 2023; 3(3):563-573.
https://doi.org/10.3390/geographies3030029
Chicago/Turabian Style
Orduna-Cabrera, Fernando, Marcial Sandoval-Gastelum, Ian McCallum, Linda See, Steffen Fritz, Santosh Karanam, Tobias Sturn, Valeria Javalera-Rincon, and Felix F. Gonzalez-Navarro.
2023. "Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information" Geographies 3, no. 3: 563-573.
https://doi.org/10.3390/geographies3030029
APA Style
Orduna-Cabrera, F., Sandoval-Gastelum, M., McCallum, I., See, L., Fritz, S., Karanam, S., Sturn, T., Javalera-Rincon, V., & Gonzalez-Navarro, F. F.
(2023). Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies, 3(3), 563-573.
https://doi.org/10.3390/geographies3030029
