[HTML][HTML] Computer vision and deep learning in insects for food and feed production: A review

S Nawoya, F Ssemakula, R Akol, Q Geissmann… - … and Electronics in …, 2024 - Elsevier
Commercial insect production is a relatively new field that has gained traction in recent
years due to its potential as a sustainable source of protein. Despite its promising future, the …

[HTML][HTML] Insect classification and detection in field crops using modern machine learning techniques

T Kasinathan, D Singaraju, SR Uyyala - Information Processing in …, 2021 - Elsevier
The agriculture sector has an immense potential to improve the requirement of food and
supplies healthy and nutritious food. Crop insect detection is a challenging task for farmers …

Geometric morphometrics in entomology: Basics and applications

H Tatsuta, KH Takahashi, Y Sakamaki - Entomological Science, 2018 - Wiley Online Library
The recent expansion of a variety of morphometric tools has brought about a revolution in
the comparison of morphology in the context of the size and shape in various fields including …

A survey on image-based insect classification

C Martineau, D Conte, R Raveaux, I Arnault… - Pattern Recognition, 2017 - Elsevier
Entomology has had many applications in many biological domains (ie insect counting as a
biodiversity index). To meet a growing biological demand and to compensate a decreasing …

A lightweight YOLOv4-Based forestry pest detection method using coordinate attention and feature fusion

M Zha, W Qian, W Yi, J Hua - Entropy, 2021 - mdpi.com
Traditional pest detection methods are challenging to use in complex forestry environments
due to their low accuracy and speed. To address this issue, this paper proposes the …

Automated taxonomic identification of insects with expert-level accuracy using effective feature transfer from convolutional networks

M Valan, K Makonyi, A Maki, D Vondráček… - Systematic …, 2019 - academic.oup.com
Rapid and reliable identification of insects is important in many contexts, from the detection
of disease vectors and invasive species to the sorting of material from biodiversity …

Application of convolutional neural networks for classification of adult mosquitoes in the field

D Motta, AÁB Santos, I Winkler, BAS Machado… - PloS one, 2019 - journals.plos.org
Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus
Aedes and have caused several outbreaks in world over the past ten years. Morphological …

Comparing SVM and ANN based machine learning methods for species identification of food contaminating beetles

H Bisgin, T Bera, H Ding, HG Semey, L Wu, Z Liu… - Scientific reports, 2018 - nature.com
Insect pests, such as pantry beetles, are often associated with food contaminations and
public health risks. Machine learning has the potential to provide a more accurate and …

Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system

V Kittichai, M Kaewthamasorn, Y Samung… - Scientific Reports, 2023 - nature.com
Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes
of death in low-income countries. Control measure for the mosquito population plays an …

Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes

D Motta, AÁB Santos, BAS Machado… - Plos one, 2020 - journals.plos.org
The economic and social impacts due to diseases transmitted by mosquitoes in the latest
years have been significant. Currently, no specific treatment or commercial vaccine exists for …