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Near infrared spectroscopy to predict bitter pit development in different varieties of apples.
- Published in:
- Journal of Food Measurement & Characterization, 2017, v. 11, n. 3, p. 987, doi. 10.1007/s11694-017-9473-x
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- Article
High-Throughput Phenotyping of Fire Blight Disease Symptoms Using Sensing Techniques in Apple.
- Published in:
- Frontiers in Plant Science, 2019, p. N.PAG, doi. 10.3389/fpls.2019.00576
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- Publication type:
- Article
Hyperspectral Imaging and Spectrometry-Derived Spectral Features for Bitter Pit Detection in Storage Apples.
- Published in:
- Sensors (14248220), 2018, v. 18, n. 5, p. 1561, doi. 10.3390/s18051561
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- Publication type:
- Article
Determination of the Most Effective Wavelengths for Prediction of Fuji Apple Starch and Total Soluble Solids Properties.
- Published in:
- Applied Sciences (2076-3417), 2020, v. 10, n. 22, p. 8145, doi. 10.3390/app10228145
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- Article