Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks

Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks

The paper presents the method of using vision techniques and artificial neural networks to assess the degree of contamination of cereal during grain reception. The aim of the work is to optimize the management of the contaminant evaluation process of grain mass in warehouse and during purchase using...

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Bibliographic Details
Main Authors: Katarzyna Szwedziak, Żaneta Grzywacz, Ewa Polańczyk, Piotr Bębenek, Marian Olejnik
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
management optimization
artificial neural networks
vision techniques
quality assessment
grain storage
grain contamination
Online Access:https://www.mdpi.com/2076-3417/10/16/5721

Internet

https://www.mdpi.com/2076-3417/10/16/5721

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