Computational bioacoustics with deep learning: a review and roadmap
D Stowell - PeerJ, 2022 - peerj.com
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
Taxonomy, Biology, Symbionts, Omics, and Management of Rhynchophorus Palm Weevils (Coleoptera: Curculionidae: Dryophthorinae)
MS Hoddle, B Antony, HAF El-Shafie… - Annual Review of …, 2024 - annualreviews.org
Palm weevils, Rhynchophorus spp., are destructive pests of native, ornamental, and
agricultural palm species. Of the 10 recognized species, two of the most injurious species …
agricultural palm species. Of the 10 recognized species, two of the most injurious species …
Early detection of red palm weevil infestations using deep learning classification of acoustic signals
Abstract The Red Palm Weevil (RPW), also known as the palm weevil, is considered among
the world's most damaging insect pests of palms. Current detection techniques include the …
the world's most damaging insect pests of palms. Current detection techniques include the …
[HTML][HTML] Smart IoT-based system for detecting RPW larvae in date palms using mixed depthwise convolutional networks
Smart agriculture and Internet of Things (IoT) technologies have become the key points for
many intelligent decision-making applications to support agricultural experts and farmers …
many intelligent decision-making applications to support agricultural experts and farmers …
Automated applications of acoustics for stored product insect detection, monitoring, and management
R Mankin, D Hagstrum, M Guo, P Eliopoulos… - Insects, 2021 - mdpi.com
Simple Summary A variety of different acoustic devices has been commercialized for
detection of hidden insect infestations in stored products, trees, and soil, including a recently …
detection of hidden insect infestations in stored products, trees, and soil, including a recently …
Optical identification of fruitfly species based on their wingbeats using convolutional neural networks
The spotted wing Drosophila (SWD), Drosophila suzukii, is a significant invasive pest of
berries and soft-skinned fruits that causes major economic losses in fruit production …
berries and soft-skinned fruits that causes major economic losses in fruit production …
Acoustic Denoising Using Artificial Intelligence for Wood-Boring Pests Semanotus bifasciatus Larvae Early Monitoring
X Liu, H Zhang, Q Jiang, L Ren, Z Chen, Y Luo, J Li - Sensors, 2022 - mdpi.com
Acoustic detection technology is a new method for early monitoring of wood-boring pests,
and the effective denoising methods are the premise of acoustic detection in forests. This …
and the effective denoising methods are the premise of acoustic detection in forests. This …
[PDF][PDF] Intelligent IoT-aided early sound detection of red palm weevils
Smart precision agriculture utilizes modern information and wireless communication
technologies to achieve challenging agricultural processes. Therefore, Internet of Things …
technologies to achieve challenging agricultural processes. Therefore, Internet of Things …
Mobile Acoustic Net: A novel early detection model for wood-boring pests
W Min, M Zhai, S Chen, L Huang, F Wang… - … and Electronics in …, 2025 - Elsevier
Wood-boring pests (WBPs) are among the most destructive pests to trees, yet their presence
is difficult to detect due to their concealed lifestyles. Audio signals generated through the …
is difficult to detect due to their concealed lifestyles. Audio signals generated through the …
Enhancement of Boring Vibrations Based on Cascaded Dual-Domain Features Extraction for Insect Pest Agrilus planipennis Monitoring
H Shi, Z Chen, H Zhang, J Li, X Liu, L Ren, Y Luo - Forests, 2023 - mdpi.com
Wood-boring beetles are among the most destructive forest pests. The larvae of some
species live in the trunks and are covered by bark, rendering them difficult to detect. Early …
species live in the trunks and are covered by bark, rendering them difficult to detect. Early …