Detection of early bruises in apples using hyperspectral data and thermal imaging

By Piotr Baranowski, W. Mazurek, J. Wozniak, U. Majewska. 2012

214 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Insect Science

View Paper: https://www.semanticscholar.org/paper/0d1f7cf5a2b0984778a9ac2b9a14b018517c5c36

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. Hailong Wang
2. Yu Jiang
3. Yong He
4. Changying Li
5. Chuanqi Xie
6. Yidan Bao
7. Jiyu Peng

In Biophysics

1. Yu Jiang
2. Changying Li
3. Yidan Bao

Citations in the corpus

• Fruit Quality Evaluation Using Spectroscopy Technology: A Review (2015, methodology): “[44], LDA is commonly used in machine learning to search for a linear combination of characteristics separating different classes of objects.”
• Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, unknown): “As an improvement of support vector machines (SVM), LS-SVM was showed to have better performance.”
• Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (2014, unknown): “SVM – Baranowski et al. (2012)”
• Blueberry bruise detection by pulsed thermographic imaging (2018, background): “A follow-up study in 2012 (Baranowski et al., 2012) applied both lock-in and pulsed thermographic techniques to bruised apples, once again producing visualizations of bruises and providing information about bruise depth.”