Emerging technologies revolutionise insect ecology and monitoring
Insects are the most diverse group of animals on Earth, but their small size and high diversity
have always made them challenging to study. Recent technological advances have the …
have always made them challenging to study. Recent technological advances have the …
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 …
Deep learning and computer vision will transform entomology
Most animal species on Earth are insects, and recent reports suggest that their abundance is
in drastic decline. Although these reports come from a wide range of insect taxa and regions …
in drastic decline. Although these reports come from a wide range of insect taxa and regions …
Machine learning and deep learning—A review for ecologists
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
A review of earth artificial intelligence
In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
Towards the fully automated monitoring of ecological communities
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …
global change and biodiversity declines. While real‐time and automated monitoring of …
[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
A review of the major threats and challenges to global bat conservation
Bats are an ecologically and taxonomically diverse group accounting for roughly a fifth of
mammalian diversity worldwide. Many of the threats bats face (eg, habitat loss, bushmeat …
mammalian diversity worldwide. Many of the threats bats face (eg, habitat loss, bushmeat …
[HTML][HTML] Machine learning in acoustics: Theory and applications
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …
communications to ocean and Earth science. We survey the recent advances and …
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
High‐throughput environmental sensing technologies are increasingly central to global
monitoring of the ecological impacts of human activities. In particular, the recent boom in …
monitoring of the ecological impacts of human activities. In particular, the recent boom in …