Vision Based Entomology : A Survey

Abstract

Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, insects account for more than two thirds of these known species. Since 400 million years ago, there have been various kinds of interactions between humans and insects. There have been several attempts to create a method to perform insect identification accurately. Great knowledge and experience on entomology are required for accurate insect identification. Automation of insect identification is required because there is a shortage of skilled entomologists. This paper provides a review of the past literature in vision-based insect recognition and classifications. Over the past decades, automatic insect recognition and classification has been given extra attention especially in term of crop pest and disease control. This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm.Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). We provides discussion on the state-of-the-art and provides perspective on future research direction in insect recognition and classification problem.

A survey on image-based insect classification

“…They discuss examples of successful achievements that were initially made and provide motivations for further studying this problem. In [24], the authors list a few papers from recent years. In this survey, we adopt a more focused and detailed level of description than in [23].…”

“…In this survey, we adopt a more focused and detailed level of description than in [23]. In comparison to [24], we provide more references and a common framework to analyze and compare them. The proposed survey is more centered on computer science point of view than the cited surveys.…”

Deep Learning Based Classification for Hoverflies (Diptera: Syrphidae)

“…Insects are a class within the arthropods and have an exoskeleton and a characteristic body structure consisting of 3 parts (head, thorax, and abdomen) and three pairs of legs, compound eyes, and a pair of antennae (Martineau et al, 2017;Xia, Chen, Wang, Zhang, & Xie, 2018;Hassan, Rahman, Htike, & Win, 2014). Arthropods show more biodiversity than other groups of living things.…”

“…It was used to determine the quality of many habitats (agriculture, forest, and meadow) and the fauna richness and diversity of habitats. It is also used to determine the extent of arthropod diversity, habitat fragmentation, and degradation (Martineau et al, 2017;Xia et al, 2018;Hassan et al, 2014).…”

“…One of these solutions is the automatic identification process. Image-based insect recognition is widely used, especially in agriculture, ecology, and biodiversity (Hassan et al, 2014;Martineau et al, 2017;Karar, Alsunaydi, Albusaymi, & Alotaibi, 2021). Fedor, Vaňhara, Havel, Malenovský, & Spellerberg (2009) identified 18 economically important common European species of Thysanoptera with 97% accuracy using the artificial neural network (ANN) model.…”