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Updated: Jun 27, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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超光谱技术与机器学习的应用,用于布里克斯检测糕点梨

Hongkun Ouyang1, Lingling Tang1, Jinglong Ma1

  • 1College of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an 625000, China.

Plants (Basel, Switzerland)
|April 27, 2024
PubMed
概括

这项研究开发了一种基因调整的支向量机器模型,使用高光谱技术准确估计脆梨糖含量. SG-CARS-GASVR模型实现了高相关系数,改善了水果质量评估.

关键词:
脆脆的梨子 梨子超光谱成像技术的使用.机器学习是机器学习.糖分含量 糖分含量 糖分含量 糖分含量

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Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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