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Recent advances in the remote sensing of insects
Remote sensing has revolutionised many aspects of ecological research, enabling
spatiotemporal data to be collected in an efficient and highly automated manner. The last …
spatiotemporal data to be collected in an efficient and highly automated manner. The last …
Photonic monitoring of atmospheric and aquatic fauna
Flying insects are of utmost importance in ecology and for human living conditions. Certain
species serve as indispensable pollinators to ensure the availability of food stuffs, while …
species serve as indispensable pollinators to ensure the availability of food stuffs, while …
A deep-learning-based detection approach for the identification of insect species of economic importance
Simple Summary This study aims at develo** a machine-learning-based classification
approach to recognize insect species of economic importance. Two tephritid pest species …
approach to recognize insect species of economic importance. Two tephritid pest species …
Deep learning approaches for challenging species and gender identification of mosquito vectors
Microscopic observation of mosquito species, which is the basis of morphological
identification, is a time-consuming and challenging process, particularly owing to the …
identification, is a time-consuming and challenging process, particularly owing to the …
Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection
With over 3500 mosquito species described, accurate species identification of the few
implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this …
implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this …
Advances in automatic identification of flying insects using optical sensors and machine learning
Worldwide, farmers use insecticides to prevent crop damage caused by insect pests, while
they also rely on insect pollinators to enhance crop yield and other insect as natural …
they also rely on insect pollinators to enhance crop yield and other insect as natural …
Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species
We present a new and innovative identification method based on deep learning of the wing
interferential patterns carried by mosquitoes of the Anopheles genus to classify and assign …
interferential patterns carried by mosquitoes of the Anopheles genus to classify and assign …
Spatiotemporal map** of malaria incidence in Sudan using routine surveillance data
Malaria is a serious threat to global health, with over 95% of the cases reported in 2020 by
the World Health Organization in African countries, including Sudan. Sudan is a low-income …
the World Health Organization in African countries, including Sudan. Sudan is a low-income …
Field evaluation of an automated mosquito surveillance system which classifies Aedes and Culex mosquitoes by genus and sex
MI González-Pérez, B Faulhaber, C Aranda… - Parasites & …, 2024 - Springer
Background Mosquito-borne diseases are a major concern for public and veterinary health
authorities, highlighting the importance of effective vector surveillance and control programs …
authorities, highlighting the importance of effective vector surveillance and control programs …
Monitoring the abundance of flying insects and atmospheric conditions during a 9-month campaign using an entomological optical sensor
Monitoring the dynamics of insect populations is key to assessing the impact of human
activities on insect populations. However, traditional methodologies relying on physical traps …
activities on insect populations. However, traditional methodologies relying on physical traps …