HIGHLIGHTS
- who: Kusumiyati, Kusumiyati and Yonathan, Asikin from the (UNIVERSITY) have published the Article: Machine learning based prediction of total phenolic and avonoid in horticultural products, in the Journal: (JOURNAL)
- what: The aim of this study was to predict the total phenolic content (TPC) and total flavonoid content (TFC) in several horticultural commodities using nearinfrared spectroscopy (NIRS) combined with machine_learning. The range of TPC and TFC for powdered samples in this study has values similar to that reported in previous studies .
- how: In this study 700 samples were used including varieties of shallot cayenne . . .
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