Sergio Cubero

Analytical Chemistry · 2012–2021

A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 107 citations into it; #861 of 1,254 by trust here, #139 by citations
• Plant Science — 46 citations into it
• Biomedical Engineering — 39 citations into it; #6,990 of 10,734 by trust here, #4,247 by citations
• Atomic and Molecular Physics, and Optics — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Media Technology — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Sergio Cubero trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Renfu Lu
2. Aoife A. Gowen

Who trusts Sergio Cubero overall

1. J. Tello
2. Sandra Munera
3. J. Ibáñez
4. Da‐Wen Sun

Papers from Sergio Cubero's perspective

Ordered by how strongly the researchers Sergio Cubero trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
2. Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations
3. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
4. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging
5. Multispectral images of peach related to firmness and maturity at harvest
6. Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)
7. Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers (Computers and Electronics in Agriculture)
8. Color measurement in L ¿ a ¿ b ¿ units from RGB digital images
9. Prediction of optimal cooking time for boiled potatoes by hyperspectral imaging
10. Development of a multi-spectral vision system for the detection of defects on apples

Their papers

• Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012) — 524 citations
• Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging (2017) — 78 citations
• Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques (2021) — 58 citations
• Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines (2019) — 47 citations
• Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine (2018) — 51 citations
• Non-destructive assessment of the internal quality of intact persimmon using colour and VIS/NIR hyperspectral imaging (2017) — 72 citations
• Astringency assessment of persimmon by hyperspectral imaging (2017) — 55 citations
• VIS/NIR hyperspectral imaging and N-way PLS-DA models for detection of decay lesions in citrus fruits (2016) — 82 citations
• A new method for assessment of bunch compactness using automated image analysis (2015) — 47 citations
• Computer Vision System Applied to Classification of “Manila” Mangoes During Ripening Process (2014) — 81 citations