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Updated: Jul 29, 2025

Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects
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Published on: March 16, 2010

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80种西红品种的非破坏性质量评估使用Vis-NIR光谱

Lilija Duckena1, Reinis Alksnis2, Ieva Erdberga1

  • 1Faculty of Agriculture, Institute of Soil and Plant Science, Latvia University of Life Sciences and Technologies, 2 Liela Street, LV-3001 Jelgava, Latvia.

Foods (Basel, Switzerland)
|May 27, 2023
PubMed
概括

可见和近红外光谱 (Vis-NIR) 为评估番茄质量提供了一种快速,非破坏性的方法. 这项研究证明了其在预测诸如利科和干物质含量等关键属性的有效性.

关键词:
这种植物是Solanum lycopersicum L. 的.在Vis-NIR光谱学中使用NIR光谱.部分最小平方回归 (PLS)植物化学品 植物化学品

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