Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images

Research article (Chemosphere, 2023) · cited 27× · AI/ML
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Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images

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Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images. Retrieved May 24, 2026, from https://4ort.xyz/entity/soil-carbon-content-prediction-using-multi-source-data-feature-fusion-of-deep-learning-based-on-spectral-and-hyperspectr
MLA “Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/soil-carbon-content-prediction-using-multi-source-data-feature-fusion-of-deep-learning-based-on-spectral-and-hyperspectr.
BibTeX @misc{4ortxyz_soil-carbon-content-prediction-using-multi-source-data-feature-fusion-of-deep-learning-based-on-spectral-and-hyperspectr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Soil carbon content prediction using multi-source data feature fusion of deep learning based on spectral and hyperspectral images}}, year = {2026}, url = {https://4ort.xyz/entity/soil-carbon-content-prediction-using-multi-source-data-feature-fusion-of-deep-learning-based-on-spectral-and-hyperspectr}, note = {Accessed: 2026-05-24}}
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