Construction of Shelf-Life Prediction Model for Golden Delicious Apple Based on Electronic Nose
نویسندگان
چکیده
The Golden Delicious apple shelf-life prediction model based on electronic nose was built by partial least squares regressions (PLSR). Sensory quality, such as, weight loss, texture, color changes and were studied. correlation between the sensors sensory quality of apples analyzed to select appropriate for construction model. results building PLSR showed that R2 training set 0.86, RMSEC 3.94. reached 0.98, relatively accurate.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/1952/4/042009