Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm

doi:10.18280/ts.400421

CIOMP OpenIR

	Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm
	Y. Wang, J. Sun, F. Wang and D. Li
	2023
发表期刊	Traitement du Signal
ISSN	07650019
卷号	40 期号:4 页码:1533-1541
摘要	In nursery gardens, seedlings are traditionally densely planted, leading to large errors and questionable accuracy when employing standard sampling and probability statistical methods. Such conventional methods also prove labor-intensive. To address these challenges, a patrol platform equipped with a drone-mounted image acquisition system was developed. Remote sensing images, sourced from a nursery garden situated in the Linjiang Forestry Bureau of Jilin Province, China, served as the primary dataset. By leveraging the deep learning-based target detection capabilities of the YOLOv4 algorithm, seedlings within the nursery garden were meticulously surveyed, delineated, and enumerated. For the statistical evaluation of Pinus Koraiensis (Korean pine) seedlings, a precision of 91.85% was achieved using the YOLOv4 algorithm. Results suggest a notable robustness of the model in standard environments. Compared to traditional quadrat sampling and detection approaches, the methodology introduced here offers an intelligent, efficient, and precise mapping strategy for large-scale seedling surveys. © 2023 Lavoisier. All rights reserved.
DOI	10.18280/ts.400421
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67992
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Wang, J. Sun, F. Wang and D. Li. Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm[J]. Traitement du Signal,2023,40(4):1533-1541.
APA	Y. Wang, J. Sun, F. Wang and D. Li.(2023).Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm.Traitement du Signal,40(4),1533-1541.
MLA	Y. Wang, J. Sun, F. Wang and D. Li."Remote Sensing-Based Estimation of Seedling Density in Nursery Gardens Using YOLOv4 Deep Learning Algorithm".Traitement du Signal 40.4(2023):1533-1541.

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