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Related papers: Descriptor: Parasitoid Wasps and Associated Hymeno…

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Accurate taxonomic identification of parasitoid wasps within the superfamily Ichneumonoidea is essential for biodiversity assessment, ecological monitoring, and biological control programs. However, morphological similarity, small body…

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…

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

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

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…

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…

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

IPIs caused by protozoan and helminth parasites are among the most common infections in humans in LMICs. They are regarded as a severe public health concern, as they cause a wide array of potentially detrimental health conditions.…

Computer Vision and Pattern Recognition · Computer Science 2022-08-04 Nouar AlDahoul , Hezerul Abdul Karim , Shaira Limson Kee , Myles Joshua Toledo Tan

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…

We present CrypticBio, the largest publicly available multimodal dataset of visually confusing species, specifically curated to support the development of AI models in the context of biodiversity applications. Visually confusing or cryptic…

Multimedia · Computer Science 2025-05-22 Georgiana Manolache , Gerard Schouten , Joaquin Vanschoren

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…

Pollinator insects such as honeybees and bumblebees are vital to global food production and ecosystem stability, yet their populations are declining due to anthropogenic and environmental stressors. Scalable, automated monitoring in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-10 Ahmed Emam , Mohamed Elbassiouny , Julius Miller , Patrick Donworth , Sabine Seidel , Ribana Roscher

Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations. However, automatic recognition systems are rarely applied so far, and experts evaluate the generated data masses manually.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-31 Dimitri Korsch , Paul Bodesheim , Joachim Denzler

Planktonic organisms are of fundamental importance to marine ecosystems: they form the basis of the food web, provide the link between the atmosphere and the deep ocean, and influence global-scale biogeochemical cycles. Scientists are…

Computer Vision and Pattern Recognition · Computer Science 2015-10-06 Eric C. Orenstein , Oscar Beijbom , Emily E. Peacock , Heidi M. Sosik

Despite the ecological significance of invertebrates, global trait databases remain heavily biased toward vertebrates and plants, limiting comprehensive ecological analyses of high-diversity groups like ground beetles. Ground beetles…

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

Among all animals, mosquitoes are responsible for the most deaths worldwide. Interestingly, not all types of mosquitoes spread diseases, but rather, a select few alone are competent enough to do so. In the case of any disease outbreak, an…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Mona Minakshi , Pratool Bharti , Willie B. McClinton , Jamshidbek Mirzakhalov , Ryan M. Carney , Sriram Chellappan

Intestinal parasites are responsible for several diseases in human beings. In order to eliminate the error-prone visual analysis of optical microscopy slides, we have investigated automated, fast, and low-cost systems for the diagnosis of…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 D. Osaku , C. F. Cuba , Celso T. N. Suzuki , J. F. Gomes , A. X. Falcão

One of the critical biotic stress factors paddy farmers face is diseases caused by bacteria, fungi, and other organisms. These diseases affect plants' health severely and lead to significant crop loss. Most of these diseases can be…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Petchiammal A , Briskline Kiruba S , D. Murugan , Pandarasamy A

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
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