Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
ISPRS Journal of Photogrammetry and Remote Sensing(2020)
摘要
The extraction of phenotypic traits is often very time and labour intensive. Especially the investigation in viticulture is restricted to an on-site analysis due to the perennial nature of grapevine. Traditionally skilled experts examine small samples and extrapolate the results to a whole plot. Thereby different grapevine varieties and training systems, e.g. vertical shoot positioning (VSP) and semi minimal pruned hedges (SMPH) pose different challenges.
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关键词
Deep learning,Semantic segmentation,Geoinformation,High-throughput analysis,Plant phenotyping,Vitis
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