Corn emergence uniformity estimation and mapping using UAV imagery and deep learning
Computers and Electronics in Agriculture（2022）
Abstract
•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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Key words
Corn emergence,Deep learning,Emergence uniformity,Planting depth,UAV imagery
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