Detection of Mechanical Damage in Corn Seeds Using Hyperspectral Imaging and the ResNeSt_E Deep Learning Network

Detection of Mechanical Damage in Corn Seeds Using Hyperspectral Imaging and the ResNeSt_E Deep Learning Network

Corn is one of the global staple grains and the largest grain crop in China. During harvesting, grain separation, and corn production, corn is susceptible to mechanical damage including surface cracks, internal cracks, and breakage. However, the internal cracks are difficult to observe. In this stud...

Full description

Bibliographic Details
Main Authors: Hua Huang, Yinfeng Liu, Shiping Zhu, Chuan Feng, Shaoqi Zhang, Lei Shi, Tong Sun, Chao Liu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agriculture
Subjects:
corn seed
hyperspectral image
mechanical damage
combined dataset
ResNeSt_E
Online Access:https://www.mdpi.com/2077-0472/14/10/1780

Internet

https://www.mdpi.com/2077-0472/14/10/1780

Similar Items