INTELLIGENT CLASSIFICATION OF MAIZE STRAW TYPES FROM UAV REMOTE SENSING IMAGES USING DENSENET201 DEEP TRANSFER LEARNING ALGORITHM

Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm

China has abundant straw resources, but challenges in utilization persist.Utilization rates need improvement, and environmental pollution from straw burning remains a significant issue.Accurate and intelligent remote sensing classification of straw types is crucial for enhancing straw utilization and preventing straw burning.This paper proposed a n

read more

Identification of novel target genes for safer and more specific control of root-knot nematodes from a pan-genome mining.

Root-knot nematodes are globally the most aggressive and damaging plant-parasitic nematodes.Chemical nematicides have so far constituted the most efficient control measures against these agricultural pests.Because of their toxicity for the environment and danger for human health, these nematicides have now been banned from use.Consequently, new and

read more

Rapid de-escalation of anti-MRSA therapy guided by S. aureus nares screening for patients with pneumonia: protocol of a randomized controlled trial (SNAP study)

IntroductionThe current Infectious Disease Society of America and American Thoracic Society (IDSA/ATS) guidelines recommend linezolid or vancomycin as an empiric treatment for methicillin-resistant Staphylococcus aureus (MRSA) pneumonia in hospitalized patients with specific risk factors,.A nasal PCR-assay for MRSA, with its high negative predictiv

read more

Accounting for Wood, Foliage Properties, and Laser Effective Footprint in Estimations of Leaf Area Density from Multiview-LiDAR Data

The spatial distribution of Leaf Area Density (LAD) in a tree canopy has fundamental functions in ecosystems.It can be measured through a variety of methods, including voxel-based methods applied to LiDAR point clouds.A theoretical study recently compared the numerical errors of these methods and showed that the bias-corrected Maximum Likelihood Es

read more