Application of Visible Hyperspectral Imaging for Prediction of Springiness of Fresh Chicken Meat

By Z. Xiong, Da‐Wen Sun, Q. Dai, Zhong Han, Xin‐an Zeng, Lu Wang. Food Analytical Methods, 2015

57 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/03e7e4e6d0f58b1b7881dea89d4bfa7ce3d5431b

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. A. Adedeji
2. Ahmed M. Rady

In Animal Science and Zoology

1. A. Adedeji
2. Ahmed M. Rady

Citations in the corpus

• Application of Hyperspectral Imaging and Machine Learning Methods to Detect and Quantify Adulterants in Minced Meats (2020, result): “It is also important to state that theMRS of chicken samples had no absorption peak around 640 nm, which agrees with a previous study by Xiong et al. (2015), in which several chicken breeds showed different trends of absorption.”
• Combination of spectra and texture data of hyperspectral imaging for differentiating between free-range and broiler chicken meats (2015, unknown): “Xiong et al. / LWT - Food Science and Technology 60 (2015) 649e655 650”