Found: 13
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New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis.
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- Journal of Food Measurement & Characterization, 2024, v. 18, n. 1, p. 560, doi. 10.1007/s11694-023-02173-3
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- Article
Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest-a Review.
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- Food & Bioprocess Technology, 2016, v. 9, n. 10, p. 1623, doi. 10.1007/s11947-016-1767-1
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- Article
Computer Vision System Applied to Classification of 'Manila' Mangoes During Ripening Process.
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- Food & Bioprocess Technology, 2014, v. 7, n. 4, p. 1183, doi. 10.1007/s11947-013-1142-4
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- Article
Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks.
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- Food & Bioprocess Technology, 2013, v. 6, n. 2, p. 530, doi. 10.1007/s11947-011-0737-x
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- Article
Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables.
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- Food & Bioprocess Technology, 2011, v. 4, n. 4, p. 487, doi. 10.1007/s11947-010-0411-8
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- Article
Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables.
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- 2011
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- Correction Notice
Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters.
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- Journal of the Science of Food & Agriculture, 2016, v. 96, n. 13, p. 4575, doi. 10.1002/jsfa.7675
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- Article
Assessment of cluster yield components by image analysis.
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- Journal of the Science of Food & Agriculture, 2015, v. 95, n. 6, p. 1274, doi. 10.1002/jsfa.6819
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- Article
Automated Detection of Tetranychus urticae Koch in Citrus Leaves Based on Colour and VIS/NIR Hyperspectral Imaging.
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- Agronomy, 2021, v. 11, n. 5, p. 1002, doi. 10.3390/agronomy11051002
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- Article
Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing.
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- Remote Sensing, 2019, v. 11, n. 3, p. 221, doi. 10.3390/rs11030221
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- Article
RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing.
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- Agriculture; Basel, 2020, v. 10, n. 7, p. 276, doi. 10.3390/agriculture10070276
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- Article
Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images.
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- Journal of Chemometrics, 2018, v. 32, n. 1, p. 1, doi. 10.1002/cem.2980
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- Article
Detection of Invisible Damages in 'Rojo Brillante' Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics.
- Published in:
- Foods, 2021, v. 10, n. 9, p. 2170, doi. 10.3390/foods10092170
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- Publication type:
- Article