FlightTrackAI: a convolutional neural network-based software for tracking the flight behaviour of Aedes aegypti mosquitoes
Nouman Javed,
Adam J. López-Denman,
Prasad N. Paradkar
et al.
Abstract:Monitoring the flight behaviour of mosquitoes is crucial for assessing their fitness levels and understanding their potential role in disease transmission. Existing methods for tracking mosquito flight behaviour are challenging to implement in laboratory environments, and they also struggle with identity tracking, particularly during occlusions. Here, we introduce FlightTrackAI, a novel convolutional neural network (CNN)-based software for automatic mosquito flight tracking. FlightTrackAI employs CNN, a multi-… Show more
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