Trace elements and machine learning for Brazilian beef traceability
Elisabete A De Nadai Fernandes1, Gabriel A Sarriés2, Márcio A Bacchi1
1Nuclear Energy Center for Agriculture, University of São Paulo, Avenida Centenário 303, 13416-000 Piracicaba, SP, Brazil.
Food Chemistry
|July 17, 2020
Summary
Brazilian beef traceability was enhanced by analyzing elemental content and using machine learning algorithms. This method successfully distinguished beef origin across different biomes, improving supply chain transparency.
Area of Science:
- Agricultural Science
- Food Science
- Environmental Science
Background:
- Brazil boasts over 215 million head of livestock across 160 million hectares.
- The nation is a global leader in beef exports, production, and consumption.
- Livestock are raised in diverse biomes, including Amazônia, Caatinga, Cerrado, Pampa, and Pantanal.
Purpose of the Study:
- To investigate the elemental content of Brazilian beef from distinct biomes.
- To assess the efficacy of machine learning algorithms in classifying beef origin based on elemental composition.
- To establish a scientific basis for Brazilian beef traceability.
Main Methods:
- Beef samples from five Brazilian biomes were analyzed for elemental content using neutron activation analysis.
- Three machine learning algorithms (Multilayer Perceptron, Random Forest, Classification and Regression Tree) were employed for classification.
- Non-parametric multivariate analysis (NPMANOVA) was used to assess significant differences in elemental content.
Main Results:
- Significant differences (p < 0.0001) in elemental content were observed between beef from different biomes.
- The Multilayer Perceptron algorithm achieved the highest classification performance, particularly for Amazônia and Caatinga biomes.
- Trace element analysis combined with machine learning proved effective for beef origin classification.
Conclusions:
- Trace element profiles in Brazilian beef vary significantly across different biomes.
- Machine learning, specifically Multilayer Perceptron, can accurately classify beef origin based on elemental composition.
- This integrated approach offers a feasible solution for enhancing Brazilian beef traceability and ensuring supply chain integrity.
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