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Updated: May 20, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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使用随机森林和卷积神经网络,基于图像的高的产量预测

Sarah Ghysels1, Bernard De Baets2, Dirk Reheul1

  • 1Department of Plants and Crops, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.

Frontiers in plant science
|March 27, 2025
PubMed
概括

使用无人机图像和机器学习的自动化高通量表型化准确评估高干物质产量. 这项技术超越了传统的育种者评估,提高了植物育种计划的效率和选择精度.

关键词:
无人机无人驾驶飞行器 (UAV) 是一个卷积神经网络是一种卷积神经网络.干物质产出率是干物质的产出率.高通量表型化 (High-Throughput Phenotyping) 是一种高通量的表型化.随机的森林随机的森林

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