Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution

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Detalhes bibliográficos
Publicado no:	Agriculture vol. 15, no. 1 (2025), p. 74
Autor principal:	Li, Shizhao
Outros Autores:	Yan, Zhichao, Ma, Boxiang, Guo, Shaoru, Song, Hongxia
Publicado em:	MDPI AG
Assuntos:	Hexagon Metrology Datasets Deep learning Agricultural production Image resolution Noise reduction Scanners Tomatoes Convolution Leaves Image processing Semantic segmentation Modules Training Soil improvement Semantics Seedlings Image segmentation Phenotyping Lasers Neural networks Stems High resolution Three dimensional models Inference Diffusion rate Encoding-Decoding Environmental
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