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Drone-measured canopy spectra can be a complementary predictor of belowground arbuscular mycorrhizal fungi variations in urban community gardens
Arbuscular mycorrhizal fungi (AMF) form essential symbioses with plant roots, improving nutrient uptake, plant health, and soil …
DOI
Optimised spectrophotometric determination of anthocyanins in wheat leaves: a modified Sims and Gamon (2002) method
The widely used Sims and Gamon (2002) spectrophotometric formula for leaf anthocyanin estimation frequently produces negative values …
DOI
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
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