Toward Intelligent Quality Assessment of Camellia oleifera : A Safety-Nutrition-Flavor Framework and the Role of AI

Camellia oleifera, honored as the “oriental olive oil”, is a high-quality woody oil crop. This review constructs a multi-dimensional quality matrix as an integrated framework that cohesively links safety, nutrition, and flavor. Genetic, growth environmental and processing-related determinants of Camellia oleifera quality were thoroughly analyzed. The current applications of artificial intelligence (AI) in disease diagnosis, intelligent and non-destructive detection, maturity evaluation, and adulteration identification of Camellia oleifera are summarized. Regarding future prospects, research efforts may be directed toward the development of integrated systems for Camellia oleifera quality evaluation that are multimodal, interpretable, portable, and transferable across diverse cultivars.

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Publication Details

Journal
Food Reviews International
Published
2026-10-05
DOI
https://doi.org/10.1080/87559129.2026.2736794
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
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article

Toward Intelligent Quality Assessment of Camellia oleifera : A Safety-Nutrition-Flavor Framework and the Role of AI

Wei Chen, Simeng Li, Ping Zhao, Yang Xu
Food Reviews International
Edible Oils Quality and Analysis
article

Toward Intelligent Quality Assessment of Camellia oleifera : A Safety-Nutrition-Flavor Framework and the Role of AI

Wei Chen, Simeng Li, Ping Zhao, Yang Xu
article en

Abstract

Camellia oleifera, honored as the “oriental olive oil”, is a high-quality woody oil crop. This review constructs a multi-dimensional quality matrix as an integrated framework that cohesively links safety, nutrition, and flavor. Genetic, growth environmental and processing-related determinants of Camellia oleifera quality were thoroughly analyzed. The current applications of artificial intelligence (AI) in disease diagnosis, intelligent and non-destructive detection, maturity evaluation, and adulteration identification of Camellia oleifera are summarized. Regarding future prospects, research efforts may be directed toward the development of integrated systems for Camellia oleifera quality evaluation that are multimodal, interpretable, portable, and transferable across diverse cultivars.

Food Reviews International
Southwest Forestry University (CN), Zhejiang University (CN)
Openalex Percentile: Top 24%
Edible Oils Quality and Analysis
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