Classification and prediction by pigment content in lettuce (lactuca sativa l.) varieties using machine learning and atr-ftir spectroscopy

HIGHLIGHTS

• who: Renan Falcioni et al. from the Plant Ecophysiology Laboratory, Graduate Program in Agronomy, Department of Agronomy, State University of Maringu00e1, AvColombo, Maringu00e1, Brazil have published the research: Classification and Prediction by Pigment Content in Lettuce (Lactuca sativa L.) Varieties Using Machine Learning and ATR-FTIR Spectroscopy, in the Journal: Plants 2022, 3413 of 20/09/2022
• what: The aim of this study was to use multivariate and machine learning algorithms on Attenuated Total Reflectance Fourier Transform Infrared (ATRFTIR)-based spectra to classify predict and categorize chemometric attributes. This research shows the potential of machine . . .
  

   

  

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