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Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum
Research article (Journal of Food Composition and Analysis, 2022) · cited 26× · AI/ML
Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum
Summary
Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum is a scholarly article[1].
Key Facts
Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-the-spectral-and-textural-features-of-hyperspectral-images-for-the-nondestructive-prediction-of-amylopectin-
MLA“Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-the-spectral-and-textural-features-of-hyperspectral-images-for-the-nondestructive-prediction-of-amylopectin-.
BibTeX@misc{4ortxyz_analysis-of-the-spectral-and-textural-features-of-hyperspectral-images-for-the-nondestructive-prediction-of-amylopectin-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-the-spectral-and-textural-features-of-hyperspectral-images-for-the-nondestructive-prediction-of-amylopectin-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysis of the spectral and textural features of hyperspectral images for the nondestructive prediction of amylopectin and amylose contents of sorghum — https://4ort.xyz/entity/analysis-of-the-spectral-and-textural-features-of-hyperspectral-images-for-the-nondestructive-prediction-of-amylopectin- (retrieved 2026-05-24)
