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This presentation introduces the application of Internet of Things in the transport of perishables.In particular it focuses on the production process of potato starch and the logistics of transporting the potatoes to the starch mill.A new mathematical model is proposed for predictive scheduling of perishable material transports with the aim of reducing losses of perishables.The starch content of individual potatoes at specific farms is measured through sensors in the potatoes that communicate through the IoT.The mathematical model is particularly designed for allocation of potatoes from several farms to a nearby starch mill,which produces starch from limited amount of potatoes each day.It is known that the quality of potatoes decreases and as a resuh they produce less starch.A model predictive control approach is proposed to maximize the production of starch.An IoT infrastructure is presented that allows proper data communication and cloud data storage enabling the logistic control of the potato supply process to the starch mill.Simulation experiments indicate that predictive scheduling and real-time information on potato quality can yield a higher starch production compared to non-predictive optimization.