Volume 12, Number 20, November 2022

A Systematic Literature Review on Insect Detection in Images

  Authors

Lotfi Souifi¹, Afef Mdhaffar^1,2, Ismael Bouassida Rodriguez¹, Mohamed Jmaiel^1,2 and Bernd Freisleben³, ¹University of Sfax, Tunisia, ²Digital Research Center of Sfax, Tunisia, ³Dept. of Math. & Comp. Sci., Philipps-Universität Marburg, Germany

  Abstract

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.

  Keywords

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