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

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Detaylı Bibliyografya
Yayımlandı:	Agriculture vol. 15, no. 1 (2025), p. 74
Yazar:	Li, Shizhao
Diğer Yazarlar:	Yan, Zhichao, Ma, Boxiang, Guo, Shaoru, Song, Hongxia
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	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
Online Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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