Quan, L.; Li, H.; Li, H.; Jiang, W.; Lou, Z.; Chen, L.
Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment. Remote Sens. 2021, 13, 2288.
https://doi.org/10.3390/rs13122288
AMA Style
Quan L, Li H, Li H, Jiang W, Lou Z, Chen L.
Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment. Remote Sensing. 2021; 13(12):2288.
https://doi.org/10.3390/rs13122288
Chicago/Turabian Style
Quan, Longzhe, Hengda Li, Hailong Li, Wei Jiang, Zhaoxia Lou, and Liqing Chen.
2021. "Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment" Remote Sensing 13, no. 12: 2288.
https://doi.org/10.3390/rs13122288
APA Style
Quan, L., Li, H., Li, H., Jiang, W., Lou, Z., & Chen, L.
(2021). Two-Stream Dense Feature Fusion Network Based on RGB-D Data for the Real-Time Prediction of Weed Aboveground Fresh Weight in a Field Environment. Remote Sensing, 13(12), 2288.
https://doi.org/10.3390/rs13122288
