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2025
Emerging technologies for pollinator monitoring
Current Opinion in Insect Science
2025
Bugs and bytes: Entomological biomonitoring through the integration of deep learning and molecular analysis for merged community and network analysis
Agricultural and Forest Entomology
2025
Advances in insect biomonitoring for agriculture and forestry: A synthesis on a multifaceted special issue of Agricultural and Forest Entomology
Agricultural and Forest Entomology
2025
Using Image-based AI for insect monitoring and conservation - InsectAI COST Action
Research Ideas and Outcomes
2025
Can artificial intelligence be integrated into pest monitoring schemes to help achieve sustainable agriculture? An entomological, management and computational perspective
Agricultural and Forest Entomology
2025
Artificial intelligence as an ally to assess and manage the golden mussel (Limnoperna fortunei (Dunker, 1857)) bioinvasion
Aquatic Sciences
2024
The Effects of Data Quality on Deep Learning Performance for Aquatic Insect Identification: Advances for Biomonitoring Studies
Water
2024
Genus Bithynia: morphological classification to molecular identification
Parasites & Vectors
2024
Exploring the landscape of automated species identification apps: Development, promise, and user appraisal
BioScience
2024
Harnessing Computational Methods to Characterize Chemical Impacts on Biodiversity
Environmental Science & Technology Letters
2024
Automated identification of aquatic insects: A case study using deep learning and computer vision techniques
Science of The Total Environment
2024
A gentle introduction to computer vision‐based specimen classification in ecological datasets
Journal of Animal Ecology
2023
Advances in Ecological Research
2023
The Riverine Organism Drift Imager: A new technology to study organism drift in rivers and streams
Methods in Ecology and Evolution
2023
Towards reliable estimates of abundance trends using automated non‐lethal moth traps
Insect Conservation and Diversity