Comparison of partial least square regression, support vector machine, and deep-learning techniques for estimating soil salinity from hyperspectral data

Research article (Journal of Applied Remote Sensing, 2018) · cited 42× · AI/ML
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Comparison of partial least square regression, support vector machine, and deep-learning techniques for estimating soil salinity from hyperspectral data

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Comparison of partial least square regression, support vector machine, and deep-learning techniques for estimating soil salinity from hyperspectral data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of partial least square regression, support vector machine, and deep-learning techniques for estimating soil salinity from hyperspectral data. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-partial-least-square-regression-support-vector-machine-and-deep-learning-techniques-for-estimating-soil-sa
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BibTeX @misc{4ortxyz_comparison-of-partial-least-square-regression-support-vector-machine-and-deep-learning-techniques-for-estimating-soil-sa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of partial least square regression, support vector machine, and deep-learning techniques for estimating soil salinity from hyperspectral data}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-partial-least-square-regression-support-vector-machine-and-deep-learning-techniques-for-estimating-soil-sa}, note = {Accessed: 2026-05-24}}
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