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Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices
Research article (Journal of Food Process Engineering, 2020) · cited 18× · AI/ML
Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices
Summary
Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices is a scholarly article[1].
Key Facts
Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-tomato-maturity-based-on-multinomial-logistic-regression-with-kernel-clustering-by-integrating-color-m
MLA“Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-tomato-maturity-based-on-multinomial-logistic-regression-with-kernel-clustering-by-integrating-color-m.
BibTeX@misc{4ortxyz_identification-of-tomato-maturity-based-on-multinomial-logistic-regression-with-kernel-clustering-by-integrating-color-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-tomato-maturity-based-on-multinomial-logistic-regression-with-kernel-clustering-by-integrating-color-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of tomato maturity based on multinomial logistic regression with kernel clustering by integrating color moments and physicochemical indices — https://4ort.xyz/entity/identification-of-tomato-maturity-based-on-multinomial-logistic-regression-with-kernel-clustering-by-integrating-color-m (retrieved 2026-05-24)
