18 December 1996 Decision support system for in-transit perishables
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The objective of this project is to develop the hardware and software by which data on the state of a perishable commodity during transit are collected. At predetermined time intervals, the data are transmitted to a control center where the data are compiled and analyzed. The instantaneous state (shelf life) of the commodity is calculated from the data to provide support for the management of the shipment. The proposed system components include (a) sense and log physical factors within a confined store or container, (b) dispatch the logged data to a receiver, (c) analyze the data to interpret the current quality of the perishable, and (d) propose a course of action based on historical data. Canada exports alfalfa cubes to overseas and this material may become moldy during transport. Twenty containerized shipments of the cubes were instrumented to acquire data on temperature and humidities within each container. The data were correlated to the state of the material in terms of its moisture content and moldiness. The analysis of the thermal environment of the container showed that, for a satisfactory prediction of product temperature and moisture, the record of container wall temperature, headspace temperature, and the relative humidity of the container are required.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shahab Sokhansanj, "Decision support system for in-transit perishables", Proc. SPIE 2907, Optics in Agriculture, Forestry, and Biological Processing II, (18 December 1996); doi: 10.1117/12.262856; https://doi.org/10.1117/12.262856

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