Detection of insect-damaged sunflower seeds using near-infrared hyperspectral imaging and machine learning

Detection of insect-damaged sunflower seeds using near-infrared hyperspectral imaging and machine learning

Insect damage can significantly affect seed germination rates and overall seed quality, resulting in notable economic losses. Detecting insect-damaged seeds is vital for upholding food safety standards and satisfying consumer expectations in confectionery sunflower markets. To tackle this issue, thi...

Full description

Saved in:
Bibliographic Details
Main Authors: Bright Mensah, Jarrad Prasifka, Brent Hulke, Ewumbua Monono, Xin Sun
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
Subjects:
Hyperspectral imaging
Sunflower seed
Machine learning
PCA
Features extraction
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525003430
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items