Classification of Grain Storage Inventory Modes Based on Temperature Contour Map of Grain Bulk Using Back Propagation Neural Network

Inventory modes classification can reduce the workload of grain depot management and it is time-saving, not labor-intensive. This paper proposed a method of using a temperature contour map converted from digital temperature data to classify stored grain inventory modes in a large bulk grain warehous...

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Bibliographic Details
Main Authors: Hongwei Cui, Qiang Zhang, Jinsong Zhang, Zidan Wu, Wenfu Wu
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/11/5/451