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Drone Multispectral Imaging Captures the Effects of Soil Nmin on Canopy Structure and Nitrogen Use Efficiency in wheat
Drone remote sensing has been increasingly demonstrated its unique advantage of monitoring vegetation and agricultural systems, yet the …
DOI
Weed Instance Segmentation from UAV ortho-mosaic Images based on Deep Learning
Weeds significantly impact agricultural production, and traditional weed control methods often harm soil health and the environment. …
DOI
Meta-analysis assessing potential of drone remote sensing in estimating plant traits related to nitrogen use efficiency
Unmanned Aerial Systems (UASs) are increasingly vital in precision agriculture, offering detailed, real-time insights into plant health …
DOI
Cassava Detection from UAV Images Using YOLOv5 Object Detection Model: Towards Weed Control in a Cassava Farm
Most deep learning-based weed detection methods either yield high accuracy, but are slow for real-time applications or too …
DOI
Characterization of N distribution in different organs of winter wheat using UAV-based remote sensing
Although unmanned aerial vehicle (UAV) remote sensing is widely used for high-throughput crop monitoring, few attempts have been made …
DOI