Integrated spectral and image analysis of hyperspectral scattering data for prediction of apple fruit firmness and soluble solids content

By F. Mendoza, Renfu Lu, D. P. Ariana, Haiyan Cen, Benjamin B. Bailey. 2011

190 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/2af8a15f13bef72ce9d673d8792ccabddf06679f

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. Hongbin Pu
3. Zhiwei Zhu
4. Lu Wang
5. Xin‐an Zeng
6. Feifei Tao
7. Dan Liu
8. Yankun Peng

In Ecology

1. Feifei Tao
2. Da‐Wen Sun
3. Dan Liu
4. Xin‐an Zeng
5. Yankun Peng

In Plant Science

1. Feifei Tao
2. Da‐Wen Sun
3. Dan Liu
4. Xin‐an Zeng
5. Yankun Peng
6. Anne Humeau-Heurtier

Citations in the corpus

• Application of Hyperspectral Imaging to Discriminate the Variety of Maize Seeds (2015, background): “However, during data fusion procedure, large disparity of feature parameters values is a challenge to make use of the data (Mendoza et al. 2011).”
• Use of Hyperspectral Imaging to Discriminate the Variety and Quality of Rice (2015, background): “It can reduce or even eliminate the discrepancy existed in different feature parameters (Mendoza et al. 2011).”
• Assessment of internal quality of blueberries using hyperspectral transmittance and reflectance images with whole spectra or selected wavelengths (2014, unknown): “For instance, the apple samples tested by Mendoza et al. (2011) had the variability of 10.”
• Ripeness Classification of Astringent Persimmon Using Hyperspectral Imaging Technique (2014, unknown): “In recent years, there has been a growing interest in this technology from researchers for nondestructive analysis in fruits (Huang et al., 2012; Mendoza et al., 2011; Qin & Lu, 2008).”
• Nondestructive Detection of Soluble Solids Content of Apples from Dielectric Spectra with ANN and Chemometric Methods (2015, methodology): “2013a), they were better than some other reported values (Beghi et al. 2013; Peng and Lu 2008; Mendoza et al. 2011; Huang and Lu 2010).”
• Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, unknown): “Hyperspectral scattering is a promising technique for the non-destructive sensing of multiple quality attributes of apple fruit (Peng and Lu 2008; Mendoza et al. 2011).”
• Nondestructive Measurement of Soluble Solids Content of Kiwifruits Using Near-Infrared Hyperspectral Imaging (2015, unknown): “The hyperspectral imaging technique has been applied in determining SSC of fruits, such as apples (Mendoza et al. 2011; Peng and Lu 2008), pears (Hong et al. 2007), strawberries (ElMasry et al. 2007), and blueberries (LeivaValenzuela et al. 2013).”
• A Nondestructive Method for Prediction of Total Viable Count in Pork Meat by Hyperspectral Scattering Imaging (2014, background): “…assessing food quality and safety attributes, and considerable studies have been reported to determine the inner quality of fruits (Lu and Peng 2006; Mendoza et al. 2011; Peng and Lu 2007, 2008), to detect apple surface defects/contamination (Kim et al. 2002; Liu et al. 2007; Mehl et al. 2004), to…”