Stored Grain Inventory Management Using Neural-Network-Based Parametric Electromagnetic Inversion
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DOI: 10.1109/access.2020.3038312
Abstract: We present a neural network architecture to determine the volume and complex permittivity of grain stored in metal bins. The neural networks output the grain height, cone angle and complex permittivity of the grain, using… read more here.
Keywords: neural network; network based; grain inventory; inventory management ... See more keywords