相关实验视频

Updated: Jan 7, 2026

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.8K

先进的高光谱图像处理和机器学习方法用于早期检测小麦茎生

Alexander Fedotov1,2, Danila Eremenko1, Daria Kuznetsova1

  • 1Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia.

Frontiers in plant science
|January 5, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
早期检测植物疾病可以解释的ML重要特征超光谱数据处理机器学习预处理管道小麦 (Triticum aestivum L.) 其他小麦树干生 (Pucciniagraminis f. sp. 其他)

更多相关视频

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols11:37

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

Published on: August 8, 2017

16.9K
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

2.5K

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.
9.3K