Analysis uncovers improved prediction of soil nutrients using convolutional neural networks, suggesting efficiency gains from innovative spectral compression techniques.
Extreme spectral compression and 1D-to-2D transformation enhance CNN performance for accurate and efficient soil nutrient prediction.
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Feng et al. (2025) studied this question.
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