Machine learning applications for multi-source data of edible crops: A review of current trends and future prospects

Zhang, Yanying; Wang, Yuanzhong

doi:10.1016/j.fochx.2023.100860

Cited by 8 publications

(2 citation statements)

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“…10 Chemical analysis is an important method for crop quality evaluation, and common methods include spectroscopic and chromatographic analysis. 11,12 Spectrometry is widely used in the characterization of comprehensive chemical information, classification and identification, and content prediction of agricultural products because of its rapidity, convenience and accuracy. 13,14 With the wide application of two-dimensional correlation spectroscopy (2DCOS), the ability of spectroscopy to characterize information has been strengthened, and it is capable of obtaining information on interactions within and between molecules, which is conducive to the comprehensive analysis and evaluation of chemical information.…”

Section: Introductionmentioning

confidence: 99%

“…Chemical analysis is an important method for crop quality evaluation, and common methods include spectroscopic and chromatographic analysis. , Spectrometry is widely used in the characterization of comprehensive chemical information, classification and identification, and content prediction of agricultural products because of its rapidity, convenience and accuracy. , With the wide application of two-dimensional correlation spectroscopy (2DCOS), the ability of spectroscopy to characterize information has been strengthened, and it is capable of obtaining information on interactions within and between molecules, which is conducive to the comprehensive analysis and evaluation of chemical information . Gas chromatography–mass spectrometry (GC-MS) is capable of detecting important chemical components and their relative contents in A. tsao-ko , and in conjunction with spectroscopic and chemometric methods, it can be used to make a preliminary determination of chemical variability in different species of genus Amomum , and is commonly used for the characterization of metabolic phenotypes. , In addition, the use of network pharmacology to predict the medicinal and nutritional values of species based on the results of GC-MS is also an important way to evaluate the quality of crops …”

Section: Introductionmentioning

confidence: 99%

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Analysis of Chemical Changes during Maturation of Amomum tsao-ko Based on GC-MS, FT-NIR, and FT-MIR

He,

Yang,

Wang

2024

ACS Omega

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Amomum tsao-ko Crevost et Lemaire (A. tsao-ko) is widely grown for its high nutritional and economic value. However, the lack of a scientific harvesting and quality control system has resulted in an uneven product quality. The present study was based on A. tsao-ko from four maturity stages from the same growing area, and its chemical trends and quality were evaluated using a combination of agronomic trait analysis, spectroscopy, chromatography, chemometrics, and network pharmacology. The results showed that A. tsao-ko was phenotypically dominant in October. Spectroscopy showed that the absorbance intensity at different maturity stages showed a trend of October > September > August > July. Further chemical differences between A. tsao-ko at different stages of maturity were found by chromatography to originate mainly from alcohol, aromatic, acids, esters, hydrocarbons, ketone, heterocyclic, and aldehydes. The network pharmacology results showed that the active ingredient for the treatment of obesity was present in A. tsao-ko and had high levels in A. tsao-ko in September and October. The results of this study provide a new idea for the comprehensive evaluation of A. tsao-ko and a theoretical basis for the harvesting and resource utilization of A. tsao-ko.

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