ArticleFoods (Basel, Switzerland)2021
Geographic Origin Discrimination of Millet Using Vis-NIR Spectroscopy Combined with Machine Learning Techniques.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Visible-Spectrum Proxy and Texture Features Coupled with Optimized Regression for Predicting Key Minerals in Chinese Wolfberry.Foods (Basel, Switzerland) · 2026Article
- Rapid Analysis of Caffeine, Protein and Trigonelline in Ugandan Arabica Coffee Using NIRS and Machine Learning Algorithms.Plants (Basel, Switzerland) · 2026Article
- Constructing an origin discrimination model of japonica rice in Heilongjiang Province based on confocal microscopy Raman spectroscopy technology.Scientific reports · 2025Article
- Using hyperspectral imaging and machine learning to identify food-contaminated compostable and recyclable plastics.UCL open. Environment · 2025Article
- Geographic authentication ofFrontiers in plant science · 2025Article
- Development and industrial application of geographical origin identification for Taiwanese oolong tea.Journal of food and drug analysis · 2024Article
- Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava.The plant genome · 2024Article
- Challenges in the Use of AI-Driven Non-Destructive Spectroscopic Tools for Rapid Food Analysis.Foods (Basel, Switzerland) · 2024Review
- Nondestructive Detection of Pesticide Residue (Chlorpyrifos) on Bok Choi (Foods (Basel, Switzerland) · 2023Article
- A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms.Foods (Basel, Switzerland) · 2023Article
- Chemometric Approach Based on Explainable AI for Rapid Assessment of Macronutrients in Different Organic Fertilizers Using Fusion Spectra.Molecules (Basel, Switzerland) · 2023Article
- Deep Learning Combined with Hyperspectral Imaging Technology for Variety Discrimination ofMolecules (Basel, Switzerland) · 2022Article
- NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals.Sensors (Basel, Switzerland) · 2022Article
- Multi-Element Analysis and Origin Discrimination ofMolecules (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Millet is a primary food for people living in the dry and semi-dry regions and is dispersed within most parts of Europe, Africa, and Asian countries. As part of the European Union (EU) efforts to establish food originality, there is a global need to create Protected Geographical Indication (PGI) and Protected Designation of Origin (PDO) of crops and agricultural products to ensure the integrity of the food supply. In the present work, Visible and Near-Infrared Spectroscopy (Vis-NIR) combined with machine learning techniques was used to discriminate 16 millet varieties (
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