Evaluation of Tomato Quality on Tree and after Harvesting using Portable NIR Spectroscopy

Journal of the Society of Agricultural Structures, Japan Pub Date : 2007-09-25 DOI:10.11449/SASJ1971.38.117

Kusumiyati, T. Akinaga, S. Yonemori, S. Kawasaki, T. Tanabe

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引用次数: 6

Abstract

The use of a portable near infrared instrument was evaluated to determine the soluble solids content, moisture content, and hue color value of tomatoes on tree and after harvesting. Calibration models were constructed using data from the winter season and summer season in order to make the model as robust as possible. The 247 samples data were randomly split into 122 samples for calibration and 125 samples for prediction. The results of the correlation coefficient (R) and standard error of calibration (SEC) values for the calibration model, which were obtained using the PLS regressions of the soluble solids content, moisture content and hue color value of the tomatoes after harvesting are 0.95 (0.26), 0.81 (1.85), and 0.94 (3.32), respectively. The positive and similar trend linear correlation of the calibration and prediction of the soluble solids content, moisture content, and hue color value from the winter season and summer season data is shown for the tomatoes on the tree and after harvesting, but have relatively differences in coefficient correlation. Based on the NIR measurement on the tree technique, the farmers can determine the harvesting time until the desired quality for example soluble solids content and reduce the sorting lose.

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便携式近红外光谱法评价番茄树下及采后品质

利用便携式近红外仪器测定番茄树下和收获后的可溶性固形物含量、水分含量和色相值。利用冬季和夏季的数据构建了校正模型，以使模型尽可能稳健。247个样本数据随机分成122个样本用于校正，125个样本用于预测。对收获后番茄可溶性固形物含量、水分含量和色相值进行PLS回归，得到校正模型的相关系数(R)和标准误差(SEC)值分别为0.95(0.26)、0.81(1.85)和0.94(3.32)。利用冬、夏两季数据对番茄的可溶性固形物含量、水分含量和色相值进行校正和预测，在树上和收获后均表现出相似的正趋势线性相关，但相关系数存在较大差异。基于树木技术的近红外测量，农民可以确定收获时间，直到所需的质量，例如可溶性固体含量，并减少分选损失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of the Society of Agricultural Structures, Japan

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