Monitoring of grain crops nitrogen status from uav multispectral images coupled with deep learning approaches

Research output: Contribution to journal › Article › peer-review

Original language	Russian
Article number	108047
Number of pages	18
Journal	Computers and Electronics in Agriculture
Volume	212
DOIs	https://doi.org/10.1016/j.compag.2023.108047
State	Published - 1 Sep 2023

Aerophotos, Attention R2U-Net, CNN, Deep learning, Grain Crops, Image segmentation, Nitrogen nutrition, Precision farming, Site specific management, U-Net models

ID: 107555784