Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—A review
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 …
sustainable production of food but a significant reduction in pre-and post-harvest waste. The …
Towards fruit maturity estimation using NIR spectroscopy
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 …
good quality and longer shelf life of fruit. Researchers have explored several fruit maturity …
[HTML][HTML] Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit
Near infrared (NIR) spectroscopy allows rapid estimation of quality traits in fresh fruit.
Several portable spectrometers are available in the market as a low-cost solution to perform …
Several portable spectrometers are available in the market as a low-cost solution to perform …
The effect of edible coatings on the nutritional quality of 'Bravo de Esmolfe'fresh-cut apple through shelf-life
The effect of edible coatings in combination with anti-browning agents on fresh-cut 'Bravo de
Esmolfe'apple was studied. Four formulations of edible coatings were used: sodium alginate …
Esmolfe'apple was studied. Four formulations of edible coatings were used: sodium alginate …
Development of multi-cultivar models for predicting the soluble solid content and firmness of European pear (Pyrus communis L.) using portable vis–NIR spectroscopy
J Wang, J Wang, Z Chen, D Han - Postharvest Biology and Technology, 2017 - Elsevier
The feasibility of a multi-cultivar model's development for the on-site determination of the
internal qualities of European pear (Pyrus communis L.) cv.'Abate','Cascade','Conference',' …
internal qualities of European pear (Pyrus communis L.) cv.'Abate','Cascade','Conference',' …
[HTML][HTML] Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit
Calibration models required for near-infrared (NIR) spectroscopy-based analysis of fresh
fruit frequently fail to extrapolate adequately to conditions not encountered during initial data …
fruit frequently fail to extrapolate adequately to conditions not encountered during initial data …
Recent advances in portable devices for fruit firmness assessment
D Wang, C Ding, Z Feng, S Ji, D Cui - Critical Reviews in Food …, 2023 - Taylor & Francis
Fruit firmness is of vital importance in various links of the fruit supply chain, such as
determining harvest time, choosing packaging and transportation methods, regulating …
determining harvest time, choosing packaging and transportation methods, regulating …
Nondestructive testing of pear based on Fourier near-infrared spectroscopy
Z Lu, R Lu, Y Chen, K Fu, J Song, L **e, R Zhai… - Foods, 2022 - mdpi.com
Fourier transform near-infrared (FT-NIR) spectroscopy is a nondestructive, rapid, real-time
analysis of technical detection methods with an important reference value for producers and …
analysis of technical detection methods with an important reference value for producers and …
Nondestructive simultaneous prediction of internal browning disorder and quality attributes in 'Rocha'pear (Pyrus communis L.) using VIS-NIR spectroscopy
This study explores the possibility of predicting the soluble solids content (SSC), firmness
and the presence of internal browning disorders in 'Rocha'pear (Pyrus communis L.) using a …
and the presence of internal browning disorders in 'Rocha'pear (Pyrus communis L.) using a …
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 …
spectral range of 800–2700nm to develop multivariate prediction models for total soluble …