Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves

Research article (Field Crops Research, 2023) · cited 47× · AI/ML
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Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves

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Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-vegetation-color-and-texture-indices-with-hyperspectral-parameters-using-machine-learning-methods-to-estimate-
MLA “Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-vegetation-color-and-texture-indices-with-hyperspectral-parameters-using-machine-learning-methods-to-estimate-.
BibTeX @misc{4ortxyz_combining-vegetation-color-and-texture-indices-with-hyperspectral-parameters-using-machine-learning-methods-to-estimate-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining vegetation, color, and texture indices with hyperspectral parameters using machine-learning methods to estimate nitrogen concentration in rice stems and leaves}}, year = {2026}, url = {https://4ort.xyz/entity/combining-vegetation-color-and-texture-indices-with-hyperspectral-parameters-using-machine-learning-methods-to-estimate-}, note = {Accessed: 2026-05-24}}
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