Arduino Mega 2560 with commercial sensors and tuned ML models (RF, ANN, ensemble) reaches 93-94% test accuracy on an in-house dataset of ten organic substance classes.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods
Arduino Mega 2560 with commercial sensors and tuned ML models (RF, ANN, ensemble) reaches 93-94% test accuracy on an in-house dataset of ten organic substance classes.