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

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Pubblicato in:	Agriculture vol. 15, no. 1 (2025), p. 74
Autore principale:	Li, Shizhao
Altri autori:	Yan, Zhichao, Ma, Boxiang, Guo, Shaoru, Song, Hongxia
Pubblicazione:	MDPI AG
Soggetti:	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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