Deep Learning-Based Seedling Row Detection and Localization Using High-Resolution UAV Imagery for Rice Transplanter Operation Quality Evaluation

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Detalles Bibliográficos
Publicado en:	Remote Sensing vol. 17, no. 4 (2025), p. 607
Autor principal:	Luo, Yangfan
Otros Autores:	Dai, Jiuxiang, Shi, Shenye, Xu, Yuanjun, Zou, Wenqi, Zhang, Haojia, Yang, Xiaonan, Zhao, Zuoxi, Li, Yuanhong
Publicado:	MDPI AG
Materias:	China Agricultural land Aquatic plants Altitude Working conditions Vision systems Agricultural technology Rice fields Crops Semantic segmentation Modules Receptive field Performance evaluation Remote sensing Seedlings Information flow Rice High resolution Effectiveness Agricultural equipment Methods Crop management Decision making Flow mapping Semantics Formability Accuracy Deep learning Image resolution Models Indicators Navigation systems Localization Agriculture Quality assessment Low altitude Wheat Neural networks Feature maps Computer aided design > CAD Farm machinery
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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