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A hyperspectral deep learning attention model for predicting lettuce chlorophyll content.
Ye Z, Tan X, Dai M, Chen X, Zhong Y, Zhang Y, Ruan Y, Kong D. Ye Z, et al. Plant Methods. 2024 Feb 3;20(1):22. doi: 10.1186/s13007-024-01148-9. Plant Methods. 2024. PMID: 38310270 Free PMC article.
Experimental results demonstrate that the deep neural network with spectral attention module outperformed the existing standard approaches, including partial least squares regression (PLSR) and random forest (RF), with an average R(2) of 0.746 and an average RMSE of 2.018. …
Experimental results demonstrate that the deep neural network with spectral attention module outperformed the existing standard approaches, …