Wavelength selection in vis/NIR spectra for detection of bruises on apples by ROC analysis
By Xuan Luo, Teruo Takahashi, Koki Kyo, Shu-huai Zhang. 2012
68 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biophysics, Plant Science
View Paper: https://www.semanticscholar.org/paper/29205affbe1926e366584695e4ecacb261c06b67
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In Analytical Chemistry
In Biophysics
In Plant Science
Citations in the corpus
- Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, result): “The results were also in agreement with findings in apples (Luo et al., 2012), strawberries (Nanyam et al.”
- Recent Advances in Wavelength Selection Techniques for Hyperspectral Image Processing in the Food Industry (2014, methodology): “…also been investigated, such as competitive adaptive reweighted sampling (CARS) (Wu and Sun 2013), receiver operating characteristic (ROC) analysis (Luo et al. 2012), branch and bound (BB) algorithm (Nakariyakul and Casasent 2009; Ariana and Lu 2010) and minimum redundancy-maximum relevance (MRMR)…”
- Fruit Quality Evaluation Using Spectroscopy Technology: A Review (2015, background): “However, although some efforts have been done to build online detection systems [76,84], real mature and feasible systems are not available in market due to various problems including expensive price, unstable models and complex operation.”