Detecting Fertility and Early Embryo Development of Chicken Eggs Using Near-Infrared Hyperspectral Imaging

By L. Liu, Michael O. Ngadi. Food and Bioprocess Technology, 2013

123 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0414ed43ff3416278e7b922ced3519f27cad6bed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Hui Huang
2. Li Liu
3. D. Saha
4. Annamalai Manickavasagan
5. Michael O. Ngadi
6. Da‐Wen Sun

In Animal Science and Zoology

1. Hui Huang
2. Li Liu
3. D. Saha
4. Annamalai Manickavasagan
5. Michael O. Ngadi

In Molecular Biology

1. Hui Huang
2. Li Liu
3. Michael O. Ngadi

Citations in the corpus

• Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review (2021, background): “In another study by Liu et al. (2012), an accuracy of 100% was reported in classi fi cation of eggs into fertile and non-fertile ones on the 0 th day of incubation and 84% accuracy on 4th day of incubation.”
• Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, methodology): “InGaAs Egg 900–1,700 Qualitative TH, Gabor filter K-means clustering [43]”