Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 20, November 2022

A Systematic Literature Review on Insect Detection in Images


Lotfi Souifi1, Afef Mdhaffar1,2, Ismael Bouassida Rodriguez1, Mohamed Jmaiel1,2 and Bernd Freisleben3, 1University of Sfax, Tunisia, 2Digital Research Center of Sfax, Tunisia, 3Dept. of Math. & Comp. Sci., Philipps-Universit├Ąt Marburg, Germany


Due to the advancements of deep learning (DL), particularly in the areas of visual object detection and convolutional neural networks (CNN), insect detecetion in images has received a lot of attention from the research community in the last few years. This paper presents a systematic review of the literature on the topic of insect detection as a case of object detection in images. It covers 50 research papers on the subject and responds to three research questions: i) type of dataset used; ii) detection technique used; iii) insect location. The paper also provides a summary of existing methods used for insect detection.


Systematic Literature Review (SLR), Deep Learning (DL), Object Detection, Insect Detection.