The Detection of Maize Seedling Quality from UAV Images Based on Deep Learning and Voronoi Diagram Algorithms

Assessing the quality of maize seedlings is crucial for field management and germplasm evaluation. Traditional methods for evaluating seedling quality mainly rely on manual field surveys, which are not only inefficient but also highly subjective, while large-scale satellite detection often lacks suf...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Lipeng Ren, Changchun Li, Guijun Yang, Dan Zhao, Chengjian Zhang, Bo Xu, Haikuan Feng, Zhida Chen, Zhongyun Lin, Hao Yang
Format:	Article
Language:	English
Published:	MDPI AG 2024-09-01
Subjects:	unmanned aerial vehicles (UAVs) deep learning Voronoi polygons plant detection maize emergence emergence uniformity
Online Access:	https://www.mdpi.com/2072-4292/16/19/3548