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一个可扩展和高效的基于无人机的管道和深度学习框架,用于从点云中表型化小麦形态

Chrisbin James1, Shekhar S Chandra2, Scott C Chapman1

  • 1School of Agriculture and Food Sustainability, The University of Queensland, Brisbane, Australia.

Plant phenomics (Washington, D.C.)
|December 19, 2025
PubMed
概括

本研究介绍了一种使用无人机 (UAV) 视频和神经辐射场 (NeRFs) 进行三维重建的方法,用于谷的表型. 开发的SegVoteNet深度学习模型在3D点云中准确地检测糖果,以改善作物育种.

关键词:
3D对象检测检测 3D对象检测深度学习是一种深度学习.高通量表型化 (High-throughput phenotyping) 是一种高通量表型化方法.点云是指点云中的点云.Sorghum 的意思是 Sorghum 的意思

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