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The Estimation of Chemical Properties of Pepper Treated with Natural Fertilizers Based on Image Texture Parameters.

Ewa RopelewskaJustyna Szwejda-Grzybowska
Published in: Foods (Basel, Switzerland) (2023)
The cultivar and fertilization can affect the physicochemical properties of pepper fruit. This study aimed at estimating the content of α-carotene, β-carotene, total carotenoids, and the total sugars of unfertilized pepper and samples treated with natural fertilizers based on texture parameters determined using image analysis. Pearson's correlation coefficients, scatter plots, regression equations, and coefficients of determination were determined. For red pepper Sprinter F 1 , the correlation coefficient ( R ) reached 0.9999 for a texture from color channel B and -0.9999 for a texture from channel Y for the content of α-carotene, -0.9998 (channel a ) for β-carotene, 0.9999 (channel a ) and -0.9999 (channel L ) for total carotenoids, as well as 0.9998 (channel R ) and -0.9998 (channel a ) for total sugars. The image textures of yellow pepper Devito F 1 were correlated with the content of total carotenoids and total sugars with the correlation coefficient reaching -0.9993 (channel b ) and 0.9999 (channel Y ), respectively. The coefficient of determination (R 2 ) of up to 0.9999 for α-carotene content and the texture from color channel Y for pepper Sprinter F 1 and 0.9998 for total sugars and the texture from color channel Y for pepper Devito F 1 were found. Furthermore, very high coefficients of correlation and determination, as well as successful regression equations regardless of the cultivar were determined.
Keyphrases
  • machine learning
  • molecularly imprinted
  • mass spectrometry
  • deep learning
  • solid phase extraction