Integration of spectral and textural data for enhancing hyperspectral prediction of K value in pork meat

By Weiwei Cheng, Da‐Wen Sun, Hongbin Pu, Yuwei Liu. 2016

100 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d1edb6f5e7ccf9a44c429dc69fe9c83327a7778b

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. Da‐Wen Sun
2. Sergio Cubero
3. José Blasco
4. Nuria Aleixos
5. P. Talens
6. Sandra Munera
7. A. Salvador
8. C. Besada

In Animal Science and Zoology

1. Da‐Wen Sun
2. Hongbin Pu
3. Jun‐Hu Cheng
4. Di Wu
5. Xin‐an Zeng
6. Ji Ma

In Biomedical Engineering

1. Da‐Wen Sun
2. José Blasco
3. Sergio Cubero
4. Nuria Aleixos
5. P. Talens
6. Sandra Munera
7. A. Salvador
8. C. Besada

Citations in the corpus

• Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging (2017, methodology): “…80 distribution of the spectral information and it is being used from recent in the internal 81 quality inspection of food (Cheng et al., 2016a; Cheng et al., 2016b, Gómez-Sanchis et 82 al., 2013) or to assess some properties of fruits like the ripeness in apples (ElMasry et 83 al., 2008),…”