Events The 2nd International Electronic Conference on Entomology

Event submissions

Published

This submission belongs to the session S5. Pest Management, Pesticide Resistance, and Toxicology of the event The 2nd International Electronic Conference on Entomology

Published date

17 May, 2025

Academic Editor

Louis Hesler

Citation

Dylan Andrew Pullock, Congliang Zhou, Yiannis Ampatzidis, Kerstin Krüger, Aruna Manrakhan, Christopher Weldon, Potential for automation of citrus psyllid pest identification using computer vision-based artificial intelligence recognition, in Proceedings of The 2nd International Electronic Conference on Entomology, 19 May–21 May 2025, MDPI: Basel, Switzerland

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Potential for automation of citrus psyllid pest identification using computer vision-based artificial intelligence recognition

Dylan Andrew Pullock ¹

Congliang Zhou ²

Yiannis Ampatzidis ²

Kerstin Krüger ^1,3

Aruna Manrakhan ^4,5

Christopher Weldon ¹

1. Department of Zoology and Entomology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Hatfield 0028, South Africa

2. Agricultural and Biological Engineering Department, Southwest Florida Research and Education Center, University of Florida, Immokalee, Florida, USA

3. KWS SAAT SE & Co. KGaA, Grimsehlstraße 31, 37574 Einbeck, Germany

4. Citrus Research International, 2 Baker Street, Mbombela 1201, South Africa

5. Department of Conservation Ecology and Entomology, Stellenbosch University, Matieland, South Africa

Abstract

Keywords

Diaphorina citri

Trioza erytreae

Integrated pest management

Huanglongbing

YOLOv8