José Blasco

Analytical Chemistry · 2008–2021

A researcher in the Science corpus: 12 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 120 citations into it; #713 of 1,254 by trust here, #83 by citations
• Plant Science — 52 citations into it
• Biomedical Engineering — 42 citations into it; #6,989 of 10,734 by trust here, #4,247 by citations
• Media Technology — 8 citations into it
• Statistics and Probability — 8 citations into it
• Atomic and Molecular Physics, and Optics — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom José Blasco trusts overall

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

1. Ian T. Jolliffe
2. G. Paschos
3. Renfu Lu
4. Aoife A. Gowen
5. Sandra Munera
6. P. Pathare

Who trusts José Blasco overall

1. Sandra Munera

Papers from José Blasco's perspective

Ordered by how strongly the researchers José Blasco 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. Non-destructive measurement of bitter pit in apple fruit using NIR hyperspectral imaging
4. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
5. Multispectral images of peach related to firmness and maturity at harvest
6. Color measurement in L ¿ a ¿ b ¿ units from RGB digital images
7. Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)
8. Prediction of optimal cooking time for boiled potatoes by hyperspectral imaging
9. Learning techniques used in computer vision for food quality evaluation: a review
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
• Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use (2020) — 354 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
• Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins (2008) — 151 citations