Improvement of blueberry freshness prediction based on machine learning and multi-source sensing in the cold chain logistics

Traditional fruit freshness prediction and modeling heavily rely on various physicochemical indicators (such as water loss rate, pH, and VC content), which is facing predicaments of time-consuming, laborious, destructive, and low prediction accuracy. To this end, this paper proposes a new method for...

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