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Prediction of the ripening stages of papayas using discriminant analysis and support vector machine algorithms.

Nurazwin ZulkifliNorhashila HashimHazreen Haizi HarithMohamad Firdza Mohamad ShukeryDaniel Iroemeha Onwude
Published in: Journal of the science of food and agriculture (2021)
The study has shown the versatility of a machine vision system in predicting the quality changes in papaya. The results showed that the machine vision system can be used to predict the ripening stages as well as classifying the fruits into different ripening stages of papayas. © 2021 Society of Chemical Industry.
Keyphrases
  • deep learning
  • machine learning
  • quality improvement
  • data analysis