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Updated: Mar 12, 2026

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols
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一个在现场获得的RGB-深度图像数据集,用于基于计算机视觉的婴儿西兰花检测和大小估计在不同的照明条件下

Rizan Mohamed1, Gayan Kahandawa Appuhamillage1, Joarder Kamruzzaman1

  • 1Institute of Innovation Science and Sustainability, Federation University Australia, Northways Road, Churchill, VIC 3842, Australia.

Data in brief
|March 11, 2026
PubMed
概括

为农业计算机视觉创建了一个新的RGB-Depth图像数据集. 这一数据集支持在不同光线条件下进行机器人收获和作物分析的研究.

关键词:
农业机器人农业机器人自动收获的自动化收获农作物监测 农作物监测 农作物监测精准农业 精准农业 精准农业机器人收获 机器人收获

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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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