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Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics
Research article (Postharvest Biology and Technology, 2020) · cited 41× · AI/ML
Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics
Summary
Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics is a scholarly article[1].
Key Facts
Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-adaptive-models-for-predicting-soluble-solid-content-of-blueberries-with-biological-variability-by-using-near-infra
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BibTeX@misc{4ortxyz_self-adaptive-models-for-predicting-soluble-solid-content-of-blueberries-with-biological-variability-by-using-near-infra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-adaptive models for predicting soluble solid content of blueberries with biological variability by using near-infrared spectroscopy and chemometrics}}, year = {2026}, url = {https://4ort.xyz/entity/self-adaptive-models-for-predicting-soluble-solid-content-of-blueberries-with-biological-variability-by-using-near-infra}, note = {Accessed: 2026-05-24}}
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