Detection of kochia [ <scp> <i>Bassia scoparia</i> </scp> (L.) A.J. Scott] and waterhemp [ <scp> <i>Amaranthus tuberculatus</i> </scp> (Moq.) J.D. Sauer] in sugarbeet field using hyperspectral imaging and deep learning technologies

These results highlight the potential of ground-based hyperspectral imaging to accurately distinguish invasive weed species from crops, supporting site-specific weed management in agriculture. The findings contribute valuable insights into the utilization of plants spectral signatures for early-stage weed identification and support the development of timely and targeted weed control strategies. © 2025 Society of Chemical Industry.