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Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects and harmful pests, to develop and implement integrated pest…

Understanding how biological communities respond to environmental changes is a key challenge in ecology and ecosystem management. The apparent decline of insect populations necessitates more biomonitoring but the time-consuming sorting and…

Insects are an integral part of our ecosystem. These often small and evasive animals have a big impact on their surroundings, providing a large part of the present biodiversity and pollination duties, forming the foundation of the food…

Sound · Computer Science 2022-11-18 Marius Faiß

Climate change and other anthropogenic factors have led to a catastrophic decline in insects, endangering both biodiversity and the ecosystem services on which human society depends. Data on insect abundance, however, remains woefully…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Aditya Jain , Fagner Cunha , Michael Bunsen , Léonard Pasi , Anna Viklund , Maxim Larrivée , David Rolnick

Insects represent half of all global biodiversity, yet many of the world's insects are disappearing, with severe implications for ecosystems and agriculture. Despite this crisis, data on insect diversity and abundance remain woefully…

The BIOSCAN project, led by the International Barcode of Life Consortium, seeks to study changes in biodiversity on a global scale. One component of the project is focused on studying the species interaction and dynamics of all insects. In…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Nicholas Pellegrino , Zahra Gharaee , Paul Fieguth

Insects play such a crucial role in ecosystems that a shift in demography of just a few species can have devastating consequences at environmental, social and economic levels. Despite this, evaluation of insect demography is strongly…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Léonard Boussioux , Tomás Giro-Larraz , Charles Guille-Escuret , Mehdi Cherti , Balázs Kégl

Insects as pollinators play a crucial role in ecosystem management and world food production. However, insect populations are declining, calling for efficient methods of insect monitoring. Existing methods analyze video or time-lapse images…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Kim Bjerge , Carsten Eie Frigaard , Henrik Karstoft

Preserving the number and diversity of insects is one of our society's most important goals in the area of environmental sustainability. A prerequisite for this is a systematic and up-scaled monitoring in order to detect correlations and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-29 Danja Brandt , Martin Tschaikner , Teodor Chiaburu , Henning Schmidt , Ilona Schrimpf , Alexandra Stadel , Ingeborg E. Beckers , Frank Haußer

Accurate pest population monitoring and tracking their dynamic changes are crucial for precision agriculture decision-making. A common limitation in existing vision-based automatic pest counting research is that models are typically…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Xumin Gao , Mark Stevens , Grzegorz Cielniak

The rapid global loss of biodiversity, particularly among insects, represents an urgent ecological crisis. Current methods for insect species discovery are manual, slow, and severely constrained by taxonomic expertise, hindering timely…

Automated identification of insects is a tough task where many challenges like data limitation, imbalanced data count, and background noise needs to be overcome for better performance. This paper describes such an image dataset which…

Multimedia · Computer Science 2021-01-28 D. L. Abeywardhana , C. D. Dangalle , Anupiya Nugaliyadde , Yashas Mallawarachchi

Explaining why the species lives at a particular location is important for understanding ecological systems and conserving biodiversity. However, existing ecological workflows are fragmented and often inaccessible to non-specialists. We…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Yutong Zhou , Masahiro Ryo

Insects comprise millions of species, many experiencing severe population declines under environmental and habitat changes. High-throughput approaches are crucial for accelerating our understanding of insect diversity, with DNA barcoding…

Traditional bird classifiers mostly rely on the visual characteristics of birds. Some prior works even train classifiers to be invariant to the background, completely discarding the living environment of birds. Instead, we are the first to…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Tin Nguyen , Peijie Chen , Anh Totti Nguyen

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information…

The human habitat is a host where microbial species evolve, function, and continue to evolve. Elucidating how microbial communities respond to human habitats is a fundamental and critical task, as establishing baselines of human microbiome…

Quantitative Methods · Quantitative Biology 2015-01-06 Peng Yang , Xiaoquan Su , Le Ou-Yang , Hon-Nian Chua , Xiao-Li Li , Kang Ning

In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield. The current machine vision model requires a large volume of data to achieve…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Hoang-Quan Nguyen , Thanh-Dat Truong , Xuan Bac Nguyen , Ashley Dowling , Xin Li , Khoa Luu

Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Decline in bird populations can result in reduced eco-system services, including seed dispersal,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Carl Chalmers , Paul Fergus , Serge Wich , Steven N Longmore , Naomi Davies Walsh , Philip Stephens , Chris Sutherland , Naomi Matthews , Jens Mudde , Amira Nuseibeh

Nematode worms are one of most abundant metazoan groups on the earth, occupying diverse ecological niches. Accurate recognition or identification of nematodes are of great importance for pest control, soil ecology, bio-geography, habitat…

Quantitative Methods · Quantitative Biology 2021-03-16 Xuequan Lu , Yihao Wang , Sheldon Fung , Xue Qing
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