DiversityScanner: Robotic handling of small invertebrates with machine learning methods

L Wührl, C Pylatiuk, M Giersch, F Lapp… - Molecular ecology …, 2022 - Wiley Online Library
Invertebrate biodiversity remains poorly understood although it comprises much of the
terrestrial animal biomass, most species and supplies many ecosystem services. The main …

Automatic image‐based identification and biomass estimation of invertebrates

J Ärje, C Melvad, MR Jeppesen… - Methods in Ecology …, 2020 - Wiley Online Library
Understanding how biological communities respond to environmental changes is a key
challenge in ecology and ecosystem management. The apparent decline of insect …

[HTML][HTML] Application of machine learning in automatic image identification of insects-a review

Y Gao, X Xue, G Qin, K Li, J Liu, Y Zhang, X Li - Ecological Informatics, 2024 - Elsevier
Fast and reliable identification of insect species is crucial for pest management, animal
quarantine, and effective utilization of insect resources. Traditional morphological …

Deep feature-based classifiers for fruit fly identification (Diptera: Tephritidae)

MM Leonardo, TJ Carvalho, E Rezende… - 2018 31st SIBGRAPI …, 2018 - ieeexplore.ieee.org
Fruit flies has a big biological and economic importance for the farming of different tropical
and subtropical countries in the World. Specifically in Brazil, third largest fruit producer in the …

FB-CNN: Feature fusion-based bilinear CNN for classification of fruit fly image

Y Peng, M Liao, Y Song, Z Liu, H He, H Deng… - IEEE …, 2019 - ieeexplore.ieee.org
The high-resolution devices for image capturing and the high professional requirement for
users, are very complex to extract features of the fruit fly image for classification. Therefore, a …

How automated image analysis techniques help scientists in species identification and classification?

EY Kalafi, C Town, SK Dhillon - Folia morphologica, 2018 - journals.viamedica.pl
Identification of taxonomy at a specific level is time consuming and reliant upon expert
ecologists. Hence the demand for automated species identification increased over the last …

CNN–SVM: a classification method for fruit fly image with the complex background

Y Peng, M Liao, H Deng, L Ao, Y Song… - IET Cyber‐Physical …, 2020 - Wiley Online Library
On the basis of the problem that the image background is simple and the traditional shooting
equipment of fruit flies is too high, this study improved the convolutional neural network …

Evidence for Introgression Among Three Species of the Anastrepha fraterculus Group, a Radiating Species Complex of Fruit Flies

F Diaz, A Luís A. Lima, AM Nakamura… - Frontiers in …, 2018 - frontiersin.org
Introgression should no longer be considered as rare a phenomenon as once thought, since
several studies have recently documented gene flow between closely related and radiating …

An intelligent identification system combining image and DNA sequence methods for fruit flies with economic importance (Diptera: Tephritidae)

J Wang, Y Chen, X Hou, Y Wang… - Pest Management …, 2021 - Wiley Online Library
BACKGROUND Images and DNA sequences are two important methods for identifying fruit
fly species. In addition, the identification of insect species complexes is highly problematic …

Classification for fruit fly images using convolutional neural networks

S Chen, J Chen - Information Technology and Control, 2022 - itc.ktu.lt
The discriminative information of fruit fly images often exists in a very fine region, resulting in
hard extracting the desired features from the entire image level. Hence, it is a tough task to …