Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review

V Cortés, J Blasco, N Aleixos, S Cubero… - Trends in Food Science & …, 2019 - Elsevier
Background The increasing demand for quality assurance in agro-food production requires
sophisticated analytical methods for in-line quality control. One of these techniques is visible …

Extraction of spectral information from hyperspectral data and application of hyperspectral imaging for food and agricultural products

L Ravikanth, DS Jayas, NDG White, PG Fields… - Food and bioprocess …, 2017 - Springer
Hyperspectral imaging is built with the aggregation of imaging, spectroscopy and
radiometric techniques. This technique observes the sample behaviour when it is exposed …

Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—A review

B Li, J Lecourt, G Bishop - Plants, 2018 - mdpi.com
Global food security for the increasing world population not only requires increased
sustainable production of food but a significant reduction in pre-and post-harvest waste. The …

Towards fruit maturity estimation using NIR spectroscopy

SSA Shah, A Zeb, WS Qureshi, M Arslan… - Infrared Physics & …, 2020 - Elsevier
Maturity estimation is critical for harvesting fruit at the correct time which in turn results in
good quality and longer shelf life of fruit. Researchers have explored several fruit maturity …

Prediction of banana quality indices from color features using support vector regression

A Sanaeifar, A Bakhshipour, M De La Guardia - Talanta, 2016 - Elsevier
Banana undergoes significant quality indices and color transformations during shelf-life
process, which in turn affect important chemical and physical characteristics for the …

Intact orange quality prediction with two portable NIR spectrometers

JA Cayuela, C Weiland - Postharvest Biology and Technology, 2010 - Elsevier
Two commercial portable spectrometers were compared for orange quality non-destructive
predictions by developing partial least squares calibration models, reflectance mode spectra …

[HTML][HTML] Comparison of NIRS approach for prediction of internal quality traits in three fruit species

GA de Oliveira, S Bureau, CMGC Renard… - Food Chemistry, 2014 - Elsevier
NIR Spectroscopy ability was investigated to assess the fruit structure effect (passion fruit,
tomato and apricot) on prediction performance of soluble solids content (SSC) and titratable …

Non-destructive characterization and quality control of intact strawberries based on NIR spectral data

MT Sánchez, MJ De la Haba, M Benítez-López… - Journal of Food …, 2012 - Elsevier
External and internal quality parameters of strawberries (Fragaria x ananassa Duch.) were
studied at harvest and during postharvest refrigerated storage using a handheld micro …

Miniature handheld NIR sensor for the on-site non-destructive assessment of post-harvest quality and refrigerated storage behavior in plums

D Pérez-Marín, P Paz, JE Guerrero… - Journal of food …, 2010 - Elsevier
This study evaluated the feasibility of using a handheld micro-electro-mechanical system
(MEMS) spectrometer working in the 1600–2400nm range for the measurement of quality …

Robust prediction models for quality parameters in Japanese plums (Prunus salicina L.) using NIR spectroscopy

ED Louw, KI Theron - Postharvest Biology and Technology, 2010 - Elsevier
Fourier-transformed near infrared (FT-NIR) reflectance spectroscopy was used over a
spectral range of 800–2700nm to develop multivariate prediction models for total soluble …