ASSESSING THE ABILITY OF DEEP LEARNING TECHNIQUES TO PERFORM REAL-TIME IDENTIFICATION OF SHARK SPECIES IN LIVE STREAMING VIDEO FROM DRONES

Assessing the ability of deep learning techniques to perform real-time identification of shark species in live streaming video from drones

Over the last five years remotely piloted drones have become the tool of choice to spot potentially dangerous sharks in New South Wales, Australia.They have proven to be a more effective, accessible and cheaper solution compared to crewed aircraft.However, the ability to reliably detect and identify marine fauna is closely tied to pilot skill, expe

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Analysis of Salmonella lineage-specific traits upon cell sorting

Microbial cell individuality is receiving increasing interest in the scientific community.Individual cells within clonal populations exhibit noticeable phenotypic heterogeneity.The advent of fluorescent protein technology and advances in single-cell analysis has revealed phenotypic cell variant in bacterial populations.This heterogeneity is evident

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AI-Powered Precision in Diagnosing Tomato Leaf Diseases

Correct detection of plant diseases is critical for enhancing crop yield and quality.Conventional methods, such as visual inspection and microscopic analysis, are typically jilungin dreaming tea labor-intensive, subjective, and vulnerable to human error, making them infeasible for extensive monitoring.In this study, we propose a novel technique to

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