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Peer-reviewedLicence not statedComputers and Electronics in Agriculture

Application of spectroscopic and multispectral imaging technologies on the assessment of ready-to-eat pineapple quality: A performance evaluation study of machine learning models generated from two commercial data analytics tools

  • Evanthia Manthou
  • Sergio-Llaneza Lago
  • Evaggelos Dagres
  • Alexandra Lianou
  • Panagiotis Tsakanikas
  • Efstathios Panagou
  • Maria Anastasiadi
  • Fady Mohareb
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{manthou2026application,
  title = {{Application of spectroscopic and multispectral imaging technologies on the assessment of ready-to-eat pineapple quality: A performance evaluation study of machine learning models generated from two commercial data analytics tools}},
  author = {Evanthia Manthou and Sergio-Llaneza Lago and Evaggelos Dagres and Alexandra Lianou and Panagiotis Tsakanikas and Efstathios Panagou and Maria Anastasiadi and Fady Mohareb},
  journal = {Computers and Electronics in Agriculture},
  year = {2026},
  month = oct,
  doi = {10.1016/j.compag.2020.105529},
  url = {https://hal.science/hal-05788189v1},
}
RIS
TY  - JOUR
TI  - Application of spectroscopic and multispectral imaging technologies on the assessment of ready-to-eat pineapple quality: A performance evaluation study of machine learning models generated from two commercial data analytics tools
AU  - Evanthia Manthou
AU  - Sergio-Llaneza Lago
AU  - Evaggelos Dagres
AU  - Alexandra Lianou
AU  - Panagiotis Tsakanikas
AU  - Efstathios Panagou
AU  - Maria Anastasiadi
AU  - Fady Mohareb
PY  - 2026
DA  - 2026/10/09
JO  - Computers and Electronics in Agriculture
DO  - 10.1016/j.compag.2020.105529
UR  - https://hal.science/hal-05788189v1
SN  - 0168-1699
SN  - 1872-7107
ER  -