Identification of Defective Maize Seeds Using Hyperspectral Imaging Combined with Deep Learning

Identification of Defective Maize Seeds Using Hyperspectral Imaging Combined with Deep Learning

Seed quality affects crop yield and the quality of agricultural products, and traditional identification methods are time-consuming, complex, and irreversibly destructive. This study aims to establish a fast, non-destructive, and effective approach for defect detection in maize seeds based on hypers...

Full description

Bibliographic Details
Main Authors: Peng Xu, Wenbin Sun, Kang Xu, Yunpeng Zhang, Qian Tan, Yiren Qing, Ranbing Yang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Foods
Subjects:
hyperspectral imaging
maize seeds
defect detection
feature selection
convolutional neural network
Online Access:https://www.mdpi.com/2304-8158/12/1/144

Internet

https://www.mdpi.com/2304-8158/12/1/144

Similar Items