Abstract
AbstractChinese consumers prefer to consume fish that have only in the vigorously live state. Therefore, it is not easily and imprecisely for aquatic enterprises to implement effective aquatic survival prediction and maintain a reasonable high survival rate after live transportation. For another, traditional live fish transportation is in water, and it is cost‐prohibitive and managing‐complex. Nevertheless, waterless live fish delivery under cooling condition is considered as an alternative and promising strategy with less complexity and large traffic volume. Chinese Sturgeon had been taken as experimental subjects in our study and worked out the correlation between temperature range and survival rate with minimum stress changes. Moreover, dynamic probing for fish stress changes in term of glucose‐sensor that is a significant survey to get optimum shipment temperature and design survival computing model by over 30 hr delivering experiments, and use the deviation from reasonable temperature variation to accurately predict the final survival result. The result clearly shows the forecasting accuracy of the system is quite enough to content the requirements of aquatic enterprises. As a result, it is meaningful to provide a new management approach to improve transportation efficiency, reduce the losses, and also ensure consumers to eat high‐quality of live aquatic products.Practical applicationsConsumers have recently become more favorite with the live Chinese Sturgeon with respect to its good flavor and nutrition. In the process of live fish delivering, the logistic temperature controlling with minimum stress is the advisable way to improve the survival result for waterless live Sturgeon storage and transportation. Moreover, to fit the optimum temperature series of the real changes, the final survival rate can be estimated in a relatively high level that is quite enough to satisfy the requirement of waterless live aquatic logistics under controlled temperature range 1–3 °C.
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