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Methods and Techniques to Classify Stages in the Gonotrophic Cycle of Mosquitoes from Images using Computer Vision Techniques
­Advantages: Enables rapid and accurate identification of mosquito gonotrophic stages, enhancing disease surveillance efforts effectively. Reduces the need for extensive entomological expertise, making mosquito monitoring more accessible and efficient. Facilitates integration with citizen-science platforms, empowering community involvement...
Published: 5/23/2024   |   Inventor(s): Sriram Chellappan, Farhat Azam, Ryan Carney, Sherzod Kariev
Keywords(s): Artificial Intelligence, Infectious Diseases, Predictive Analytics
Category(s): Technology Classifications > Medical > Infectious Diseases, Technology Classifications > Data/AI > D/AI Imaging, Technology Classifications > Computer Science > Algorithms