A powerful AI grain moisture sensor approach with demonstration on a real in-bin grain dryerGrain Bin Drying Data 2020-2022

This research proposes a highly accurate and novel artificial intelligent (AI) sensor for inferring in-bin grain moisture content (IBGMC) during drying. This work models a real agricultural grain in-bin drying and storage unit. Since it is a batch drying process, it is inherently dynamic. The use of...

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Bibliographic Details

Published in:	Smart Agricultural Technology
Main Authors:	Dillon G. Hurd, Derrick K. Rollins
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Subjects:	Grain drying In-bin drying Automatic bin fan controllers Moisture cables Dynamic modeling Artificial neural network (ANN)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772375525006987