Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms

Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms

Rapid online detection of broken rate can effectively guide maize harvest with minimal damage to prevent kernel fungal damage. The broken rate prediction model based on machine vision and machine learning algorithms is proposed in this manuscript. A new dataset of high moisture content maize kernel...

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Bibliographic Details
Main Authors: Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Foods
Subjects:
combine harvester
image processing
maize kernels
broken rate
detection
Online Access:https://www.mdpi.com/2304-8158/13/24/4044
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