[HTML][HTML] Computer vision and deep learning in insects for food and feed production: A review
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 …
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 …
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 …
the comparison of morphology in the context of the size and shape in various fields including …
A survey on image-based insect classification
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
years have been significant. Currently, no specific treatment or commercial vaccine exists for …