Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data

Research article (Environmental Monitoring and Assessment, 2023) · cited 20× · AI/ML
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Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data

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Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data. Retrieved May 24, 2026, from https://4ort.xyz/entity/accurate-estimation-of-sorghum-crop-water-content-under-different-water-stress-levels-using-machine-learning-and-hypersp
MLA “Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/accurate-estimation-of-sorghum-crop-water-content-under-different-water-stress-levels-using-machine-learning-and-hypersp.
BibTeX @misc{4ortxyz_accurate-estimation-of-sorghum-crop-water-content-under-different-water-stress-levels-using-machine-learning-and-hypersp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data}}, year = {2026}, url = {https://4ort.xyz/entity/accurate-estimation-of-sorghum-crop-water-content-under-different-water-stress-levels-using-machine-learning-and-hypersp}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data — https://4ort.xyz/entity/accurate-estimation-of-sorghum-crop-water-content-under-different-water-stress-levels-using-machine-learning-and-hypersp (retrieved 2026-05-24)

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