Hussein Ali Baqir, Hussain A Younis, Osamah Mohammed Alyasiri
Abstract
Artificial Intelligence (AI) is transforming technology. GhatGPT-4 is a cutting-edge language model that enhances human-computer
interaction and understanding. This study addresses the resurgence of bed bugs, a global concern due to increased international travel,
pesticide resistance, and evolving pest control practices. It focuses on the distinct morphological features of Cimex lectularius and Cimex
hemipterus, two species of bed bugs that predominantly feed on humans. These morphological differences facilitate their accurate identification,
which is vital for effective pest management and public health. By developing a user-friendly application, this research contributes
to various aspects of bed bug control. It promotes collaboration among researchers, enables the public to easily identify these pests,
aids communicable disease control centers, expedites survey studies, and offers practical applications in places like airports, hotels, and
ports for efficient pest species recognition, ultimately enhancing bed bug management efforts. This study emphasizes the morphological
differences between C. lectularius and C. hemipterus, which can significantly impact the monitoring and management of bedbug infestations.
حسين عبد الكريم يونس | hussain A.younis | 5435