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Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)
Research article (PLoS ONE, 2015) · cited 18× · AI/ML
Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)
Summary
Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs) is a scholarly article[1].
Key Facts
Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs). Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-relevant-phytochemical-constituents-for-characterization-and-authentication-of-tomatoes-by-general-lin
MLA“Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-relevant-phytochemical-constituents-for-characterization-and-authentication-of-tomatoes-by-general-lin.
BibTeX@misc{4ortxyz_identification-of-relevant-phytochemical-constituents-for-characterization-and-authentication-of-tomatoes-by-general-lin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-relevant-phytochemical-constituents-for-characterization-and-authentication-of-tomatoes-by-general-lin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs) — https://4ort.xyz/entity/identification-of-relevant-phytochemical-constituents-for-characterization-and-authentication-of-tomatoes-by-general-lin (retrieved 2026-05-24)