TY - GEN
T1 - Non-invasive estimation of firmness in apple using VIS/NIR spectroscopy
AU - Martinez Vega, Mabel Virginia
AU - Wulfsohn, Dvora-Laio
AU - Toldam-Andersen, Torben Bo
PY - 2012
Y1 - 2012
N2 - Better and steady fruit quality evaluation at harvest is a major challenge for commercial growers of apples in Denmark. Those fruits not meeting the requirements for the fresh market traditionally go to the juice concentrate industry where low cost products are obtained. Special fruit qualities are needed to develop commodities that can obtain a premium added value on the market. Nowadays in the food industry, quality evaluation is commonly performed non-destructively by means of optical sensors such as spectrometers, hyperspectral and multispectral cameras, that allow rapid measurements of fruit composition. These methods are desirable to replace the traditional destructive ones in terms of optimization of resources and sampling. In preliminary experiments, we tested visible/NIR spectroscopy for its ability to predict firmness, which is a relevant fruit quality trait connected to juice making as well as for eating apples. Invasive and non-invasive measurements of firmness, on the shaded and exposed side of the fruits were carried out for three Danish apple cultivars of known commercial usage. Resulting data determined wavelengths between 415 to 715 nm to be predictive for firmness. A PLS model for all three cultivars combined using spectral reflectance data in this range had r=0.79 and RSME=0.83 N/cm2.
AB - Better and steady fruit quality evaluation at harvest is a major challenge for commercial growers of apples in Denmark. Those fruits not meeting the requirements for the fresh market traditionally go to the juice concentrate industry where low cost products are obtained. Special fruit qualities are needed to develop commodities that can obtain a premium added value on the market. Nowadays in the food industry, quality evaluation is commonly performed non-destructively by means of optical sensors such as spectrometers, hyperspectral and multispectral cameras, that allow rapid measurements of fruit composition. These methods are desirable to replace the traditional destructive ones in terms of optimization of resources and sampling. In preliminary experiments, we tested visible/NIR spectroscopy for its ability to predict firmness, which is a relevant fruit quality trait connected to juice making as well as for eating apples. Invasive and non-invasive measurements of firmness, on the shaded and exposed side of the fruits were carried out for three Danish apple cultivars of known commercial usage. Resulting data determined wavelengths between 415 to 715 nm to be predictive for firmness. A PLS model for all three cultivars combined using spectral reflectance data in this range had r=0.79 and RSME=0.83 N/cm2.
KW - Former LIFE faculty
KW - apple, firmness, fruit quality, NIR spectroscopy, multivariate analysis
M3 - Conference article
SN - 0567-7572
VL - 934
SP - 139
EP - 144
JO - Acta Horticulturae
JF - Acta Horticulturae
ER -