相关实验视频

Updated: Jun 29, 2025

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
11:37

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

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使用高光谱图像与机器学习相结合,对 rape种子的成熟度分类

Hui Feng1,2, Yongqi Chen1, Jingyan Song1

  • 1National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070 Hubei, PR China.

Plant phenomics (Washington, D.C.)
|March 29, 2024
PubMed
概括

这项研究开发了一种非破坏性方法,用于使用高光谱成像和机器学习对油菜的成熟度进行分类. 最好的模型达到97.86%的准确性,使作物产量和育种的成熟度能够快速评估.

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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

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Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform06:28

Author Spotlight: Unraveling Plant Responses to Abiotic Stresses Using the PlantScreen Robotic Platform

Published on: June 7, 2024

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相关概念视频

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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