Fraiwan Mohammad
Department of Computer Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan.
Animals (Basel). 2024 Dec 23;14(24):3712. doi: 10.3390/ani14243712.
Sandflies, small insects primarily from the Psychodidae family, are commonly found in sandy, tropical, and subtropical regions. Most active during dawn and dusk, female sandflies feed on blood to facilitate egg production. In doing so, they can transmit infectious diseases that may cause symptoms such as fever, headaches, muscle pain, anemia, skin rashes, and ulcers. Importantly, sandflies are species-specific in their disease transmission. Determining the gender and species of sandflies typically involves examining their morphology and internal anatomy using established identification keys. However, this process requires expert knowledge and is labor-intensive, time-consuming, and prone to misidentification. In this paper, we develop a highly accurate and efficient convolutional network model that utilizes pharyngeal and genital images of sandfly samples to classify the sex and species of three sandfly species (i.e., , , and ). A detailed evaluation of the model's structure and classification performance was conducted using multiple metrics. The results demonstrate an excellent sex-species classification accuracy exceeding 95%. Hence, it is possible to develop automated artificial intelligence-based systems that serve the entomology community at large and specialized professionals.
白蛉是主要来自蛾蠓科的小型昆虫，常见于沙地、热带和亚热带地区。白蛉在黎明和黄昏时最为活跃，雌性白蛉以血液为食以促进产卵。在此过程中，它们可传播传染病，这些传染病可能导致发烧、头痛、肌肉疼痛、贫血、皮疹和溃疡等症状。重要的是，白蛉在疾病传播方面具有物种特异性。确定白蛉的性别和种类通常需要使用既定的鉴定方法检查其形态和内部解剖结构。然而，这个过程需要专业知识，而且劳动强度大、耗时且容易出现错误鉴定。在本文中，我们开发了一种高度准确且高效的卷积网络模型，该模型利用白蛉样本的咽部和生殖器图像对三种白蛉物种（即 、 和 ）的性别和种类进行分类。使用多种指标对模型的结构和分类性能进行了详细评估。结果表明，性别 - 种类分类准确率优异，超过95%。因此，有可能开发基于人工智能的自动化系统，为广大昆虫学界和专业人士服务。 （注：原文中部分物种名缺失，用“ 、 和 ”表示）
