首页 /研究 /Transferring Learned Patterns from Ground-Based Field Imagery to Predict Uav-Based Imagery for Crop and Weed Semantic Segmentation in Precision Crop Farming
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Transferring Learned Patterns from Ground-Based Field Imagery to Predict Uav-Based Imagery for Crop and Weed Semantic Segmentation in Precision Crop Farming

Junfeng Gao, Wenzhi Liao, David Nuyttens, Peter Lootens, Erik Alexandersson, Jan Pieters

发表年份
2022
引用次数
7
访问权限
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关键词

CropSegmentationField (mathematics)WeedAerial imageryPrecision agricultureArtificial intelligenceAgricultureComputer scienceGeography

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