Cite
Deep-agriNet: a lightweight attention-based encoderdecoder framework for crop identification using multispectral images.
MLA
Yimin Hu, et al. “Deep-AgriNet: A Lightweight Attention-Based Encoderdecoder Framework for Crop Identification Using Multispectral Images.” Frontiers in Plant Science, July 2023, pp. 1–11. EBSCOhost, https://doi.org/10.3389/fpls.2023.1124939.
APA
Yimin Hu, Ao Meng, Yanjun Wu, Le Zou, Zhou Jin, & Taosheng Xu. (2023). Deep-agriNet: a lightweight attention-based encoderdecoder framework for crop identification using multispectral images. Frontiers in Plant Science, 1–11. https://doi.org/10.3389/fpls.2023.1124939
Chicago
Yimin Hu, Ao Meng, Yanjun Wu, Le Zou, Zhou Jin, and Taosheng Xu. 2023. “Deep-AgriNet: A Lightweight Attention-Based Encoderdecoder Framework for Crop Identification Using Multispectral Images.” Frontiers in Plant Science, July, 1–11. doi:10.3389/fpls.2023.1124939.