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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

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…

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

Global biodiversity is declining at an unprecedented rate, yet little information is known about most species and how their populations are changing. Indeed, some 90% of Earth's species are estimated to be completely unknown. Machine…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Yuyan Chen , Nico Lang , B. Christian Schmidt , Aditya Jain , Yves Basset , Sara Beery , Maxim Larrivée , David Rolnick

In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environmental monitoring and conservation for global food security.…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Ajay John Alex , Chloe M. Barnes , Pedro Machado , Isibor Ihianle , Gábor Markó , Martin Bencsik , Jordan J. Bird

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

Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Malika Nisal Ratnayake , Don Chathurika Amarathunga , Asaduz Zaman , Adrian G. Dyer , Alan Dorin

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…

Small, amorphous waste objects such as biological droppings and microtrash can be difficult to see, especially in cluttered scenes, yet they matter for environmental cleanliness, public health, and autonomous cleanup. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Jon Crall

Nowadays, due to the rapid population expansion, food shortage has become a critical issue. In order to stabilizing the food source production, preventing crops from being attacked by pests is very important. In generally, farmers use…

Computer Vision and Pattern Recognition · Computer Science 2021-07-16 Shi-Yao Zhou , Chung-Yen Su

Honey bees have been domesticated by humans for several thousand years and mainly provide honey and pollination, which is fundamental for plant reproduction. Nowadays, the work of beekeepers is constrained by external factors that stress…

Hardware Architecture · Computer Science 2020-10-29 Hugo Hadjur , Doreid Ammar , Laurent Lefèvre

Insects are a crucial part of our ecosystem. Sadly, in the past few decades, their numbers have worryingly decreased. In an attempt to gain a better understanding of this process and monitor the insects populations, Deep Learning may offer…

Artificial Intelligence · Computer Science 2022-06-16 Teodor Chiaburu , Felix Biessmann , Frank Hausser

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…

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…

Utilizing computer vision and the latest technological advancements, in this study, we developed a honey bee monitoring system that aims to enhance our understanding of Colony Collapse Disorder, honey bee behavior, population decline, and…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Christian I. Narcia-Macias , Joselito Guardado , Jocell Rodriguez , Joanne Rampersad-Ammons , Erik Enriquez , Dong-Chul Kim

Automatic recognition of insect sound could help us understand changing biodiversity trends around the world -- but insect sounds are challenging to recognize even for deep learning. We present a new dataset comprised of 26399 audio files,…

Sound · Computer Science 2025-03-20 Marius Faiß , Burooj Ghani , Dan Stowell

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…

Honey bee colonies are essential for global food security and ecosystem stability, yet they face escalating threats from pests, diseases, and environmental stressors. Traditional hive inspections are labor-intensive and disruptive, while…

Machine Learning · Computer Science 2025-09-11 Willy Sucipto , Jianlong Zhou , Ray Seung Min Kwon , Fang Chen

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

Ground beetles are a highly sensitive and speciose biological indicator, making them vital for monitoring biodiversity. However, they are currently an underutilized resource due to the manual effort required by taxonomic experts to perform…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 S M Rayeed , Alyson East , Samuel Stevens , Sydne Record , Charles V Stewart
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