عنوان المقالة: Utilizing GPT-4 for Morphological Identification of Bed Bugs
حسين عبد الكريم يونس | hussain A.younis | 5912
نوع النشر
مجلة علمية
المؤلفون بالعربي
حسين علي باقر، حسين يونس، أسامة محمد الياسري
المؤلفون بالإنجليزي
Hussein Ali Baqir, Hussain A Younis, Osamah Mohammed Alyasiri
الملخص الانجليزي
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.
تاريخ النشر
29/12/2023
الناشر
Abhath Journal of Basic and Applied Sciences
رقم المجلد
2
رقم العدد
2
رابط DOI
https://doi.org/10.59846/ajbas.v2i2.521
الصفحات
38-42
رابط الملف
تحميل (0 مرات التحميل)
الكلمات المفتاحية
Artificial intelligence, Agriculture, GhatGPT-4, Bed Bugs , C. Lectularius and C. hemipterus
رجوع