Corn emergence uniformity estimation and mapping using UAV imagery and deep learning

Computers and Electronics in Agriculture(2022)

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摘要
•A deep learning model to estimate corn stand uniformity from UAV images.•Estimation accuracies for plant density and mean days after emergence are ≥ 0.95.•Field-scale emergence uniformity maps are produced.•Deeper planting depths result in less, late emergence, and less spatial uniformity.
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关键词
Corn emergence,Deep learning,Emergence uniformity,Planting depth,UAV imagery
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