Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits

Research article (Chemometrics and Intelligent Laboratory Systems, 2022) · cited 98× · AI/ML
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Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits

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Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-hyperspectral-imaging-technology-and-machine-learning-algorithms-for-assessing-internal-quality-parameters-of-appl
MLA “Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-hyperspectral-imaging-technology-and-machine-learning-algorithms-for-assessing-internal-quality-parameters-of-appl.
BibTeX @misc{4ortxyz_using-hyperspectral-imaging-technology-and-machine-learning-algorithms-for-assessing-internal-quality-parameters-of-appl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits}}, year = {2026}, url = {https://4ort.xyz/entity/using-hyperspectral-imaging-technology-and-machine-learning-algorithms-for-assessing-internal-quality-parameters-of-appl}, note = {Accessed: 2026-05-24}}
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