Prediction of date fruit quality attributes during cold storage based on their electrical properties using artificial neural networks models

HIGHLIGHTS

• who: Maged Mohammed and collaborators from the Date Palm Research Center of Excellence, King Faisal University, Al Hofuf, Saudi Arabia have published the research work: Prediction of Date Fruit Quality Attributes during Cold Storage Based on Their Electrical Properties Using Artificial Neural Networks Models, in the Journal: Foods 2022, 1666 of /2022/
• what: The aims of fruit storage are to preserve fruits for consumption out of season, keep food in good shape, slow down fruit decaying, ensure an even supply to the market, and acquire higher pricing . The training dataset was used to determine the . . .
  

   

  

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