Predicting Marian Plum Fruit Quality without Environmental Condition Impact by Handheld Visible–Near-Infrared Spectroscopy
Jetsada Posom, Junjira Klaprachan, Kamonpan Rattanasopa, Panmanas Sirisomboon, Khwantri Saengprachatanarug, Seree Wongpichet
Abstract
) and root-mean-square errors of prediction (RMSEP) of 0.66 and 0.86 °Brix; 0.79 and 0.15; and 0.71 and 1.91%, respectively. The SSC, pH, and TA models could be applied for quality assurance. These models benefit the orchardist for on-tree measurement before harvesting.
Topics & Concepts
Mean squared errorRoot mean squareNear-infrared spectroscopyTitratable acidAnalytical Chemistry (journal)WavelengthSpectroscopyChemistryMathematicsMaterials scienceOpticsStatisticsPhysicsOptoelectronicsEnvironmental chemistryFood scienceQuantum mechanicsSpectroscopy and Chemometric AnalysesRemote Sensing in AgriculturePesticide Residue Analysis and Safety