PRELIMINARY STUDY ON EGG RECOGNITION MODEL OF AEDES ALBOPICTUS BASED ON DEEP LEARNING

Journal Title: Acta Parasitologica et Medica Entomologica Sinica - Year 2024, Vol 31, Issue 1

Abstract

[Objective] In this study, a pictorial database of Aedes albopictus eggs was built to establish a model for the automatic recognition and counting of eggs of this mosquito species. [Methods] In total, 449 images of Ae. albopictus eggs from field strains in three districts of Shanghai and laboratory strains were collected. The eggs were manually calibrated using the Python environment labeling library, and the faster region-based convolution neural network (Faster R-CNN) was used to train the model with the tile overlap method. [Results] The results of model validation evaluation using accuracy, recall, and F-measure showed that after 15 training sessions, the loss gradually decreased with increasing training frequency and ultimately decreased to 0.000119. The mean accuracy (mAP) increased from 0.968 to 0.980 with increasing training frequency. The final model had an accuracy of up to 0.90, a recall rate of 0.97, and an F-measure of 0.93. [Conclusion] The established model achieved its function of assisting in egg identification and counting. With further optimization of the model and refining of its classification and recognition capabilities, it will serve as a simple and efficient auxiliary monitoring tool.

Authors and Affiliations

Min-hui ZHU, Lin-juan DONG, Dun-jia WANG, Yi-zhou CAI, Zhao-wen ZHANG, Yao LIU, Shi-peng HE, Yi-bin ZHOU

Keywords

Related Articles

A RAPID CRISPR/CAS13A SYSTEM-BASED METHOD FOR DETECTING SEVERE FEVER WITH THROMBOCYTOPENIA SYNDROME VIRUS

[Objective] To develop a rapid and sensitive on-site nucleic acid detection method based on the clustered regularly interspaced short palindromic repeats (CRISPR) system to detect severe fever with thrombocytopenia syndr...

META-TRANSCRIPTOMIC DISCOVERY FOR EMERGING TICK-BORNE VIRUSES IN WUWEI, GANSU PROVINCE

[Objective] The aim of the paper is to monitor the natural infection of the viruses in ticks from the Gansu Province and elicit the risk of tick-borne viral disease transmission in the Silk Road Economic Zone. [Methods]...

A NEW SPECIES OF STENISCHIA FROM NINGXIA, CHINA (SIPHONAPTERA, CTENOPHTHALMIDAE)

The present paper deal with a new species Stenischia Jordan, 1932 from Ningxia. Types specimens were collected from Ningxia. All types are deposited in the Medical Entomology Collection of Academy of Military Medical Sci...

IMPORTED MALARIA CASES FOLLOWING LOCAL MALARIA ELIMINATION IN MINHANG DISTRICT, SHANGHAI

[Objective] The aim of the paper is to analyze the characteristics of imported malaria cases in Minhang District after local malaria elimination, and to improve prevention and control measures. [Methods] As local malaria...

PRELIMINARY STUDY ON EGG RECOGNITION MODEL OF AEDES ALBOPICTUS BASED ON DEEP LEARNING

[Objective] In this study, a pictorial database of Aedes albopictus eggs was built to establish a model for the automatic recognition and counting of eggs of this mosquito species. [Methods] In total, 449 images of Ae. a...

Download PDF file
  • EP ID EP753967
  • DOI 10-3969/j.issn.1005-0507-2024-01-003
  • Views 31
  • Downloads 0

How To Cite

Min-hui ZHU, Lin-juan DONG, Dun-jia WANG, Yi-zhou CAI, Zhao-wen ZHANG, Yao LIU, Shi-peng HE, Yi-bin ZHOU (2024). PRELIMINARY STUDY ON EGG RECOGNITION MODEL OF AEDES ALBOPICTUS BASED ON DEEP LEARNING. Acta Parasitologica et Medica Entomologica Sinica, 31(1), -. https://europub.co.uk/articles/-A-753967