Sandra Munera

Analytical Chemistry · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 71 citations into it
• Plant Science — 30 citations into it

Whom Sandra Munera trusts overall

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

1. Renfu Lu
2. Da‐Wen Sun
3. Aoife A. Gowen
4. Weiwei Cheng
5. D. Lorente
6. Mário César Ugulino de Araújo
7. Yankun Peng
8. Nuria Aleixos
9. José Manuel Amigo
10. José Blasco

Who trusts Sandra Munera overall

1. José Blasco
2. José Manuel Amigo

Papers from Sandra Munera's perspective

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

1. Learning techniques used in computer vision for food quality evaluation: a review
2. NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (Food and Bioprocess Technology)
3. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
4. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
5. Potential of VIS-NIR hyperspectral imaging and chemometric methods to identify similar cultivars of nectarine
6. Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis (Food Control)
7. Ripeness monitoring of two cultivars of nectarine using VIS-NIR hyperspectral reflectance imaging
8. Imaging spectroscopy using tunable filters: a review (SPIE Defense + Commercial Sensing)
9. Detecting maturity of persimmon fruit based on image processing technique
10. Rapid detection of anthocyanin content in lychee pericarp during storage using hyperspectral imaging coupled with model fusion

Their papers

• 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