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Monitoring the number of insect pests is a crucial component in pheromone-based pest management systems. In this paper, we propose an automatic detection pipeline based on deep learning for identifying and counting pests in images taken…

计算机视觉与模式识别 · 计算机科学 2016-02-25 Weiguang Ding , Graham Taylor

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…

计算机视觉与模式识别 · 计算机科学 2024-06-21 Aditya Jain , Fagner Cunha , Michael Bunsen , Léonard Pasi , Anna Viklund , Maxim Larrivée , David Rolnick

Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally…

计算机视觉与模式识别 · 计算机科学 2023-08-14 Tianxiao Zhang , Kaidong Li , Xiangyu Chen , Cuncong Zhong , Bo Luo , Ivan Grijalva , Brian McCornack , Daniel Flippo , Ajay Sharda , Guanghui Wang

Automatic camera-assisted monitoring of insects for abundance estimations is crucial to understand and counteract ongoing insect decline. In this paper, we present two datasets of nocturnal insects, especially moths as a subset of…

计算机视觉与模式识别 · 计算机科学 2023-07-31 Dimitri Korsch , Paul Bodesheim , Gunnar Brehm , Joachim Denzler

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…

Monitoring of colonial waterbird nesting islands is essential to tracking waterbird population trends, which are used for evaluating ecosystem health and informing conservation management decisions. Recently, unmanned aerial vehicles, or…

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…

多媒体 · 计算机科学 2021-01-28 D. L. Abeywardhana , C. D. Dangalle , Anupiya Nugaliyadde , Yashas Mallawarachchi

In entomology and ecology research, biologists often need to collect a large number of insects, among which beetles are the most common species. A common practice for biologists to organize beetles is to place them on trays and take a…

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…

声音 · 计算机科学 2022-11-18 Marius Faiß

Biodiversity conservation depends on accurate, up-to-date information about wildlife population distributions. Motion-activated cameras, also known as camera traps, are a critical tool for population surveys, as they are cheap and…

机器学习 · 计算机科学 2019-10-23 Mohammad Sadegh Norouzzadeh , Dan Morris , Sara Beery , Neel Joshi , Nebojsa Jojic , Jeff Clune

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…

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,…

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…

计算机视觉与模式识别 · 计算机科学 2024-04-29 Danja Brandt , Martin Tschaikner , Teodor Chiaburu , Henning Schmidt , Ilona Schrimpf , Alexandra Stadel , Ingeborg E. Beckers , Frank Haußer

Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy. Design an automatic pest recognition system is necessary…

计算机视觉与模式识别 · 计算机科学 2021-07-27 Hieu T. Ung , Huy Q. Ung , Binh T. Nguyen

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…

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…

计算机视觉与模式识别 · 计算机科学 2025-11-18 Yuyan Chen , Nico Lang , B. Christian Schmidt , Aditya Jain , Yves Basset , Sara Beery , Maxim Larrivée , David Rolnick

Measuring biodiversity is crucial for understanding ecosystem health. While prior works have developed machine learning models for taxonomic classification of photographic images and DNA separately, in this work, we introduce a multimodal…

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…

Every year, plant parasitic nematodes, one of the major groups of plant pathogens, cause a significant loss of crops worldwide. To mitigate crop yield losses caused by nematodes, an efficient nematode monitoring method is essential for…

计算机视觉与模式识别 · 计算机科学 2024-05-01 Zhipeng Yuan , Nasamu Musa , Katarzyna Dybal , Matthew Back , Daniel Leybourne , Po Yang

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…

计算机视觉与模式识别 · 计算机科学 2020-07-23 Mona Minakshi , Pratool Bharti , Willie B. McClinton , Jamshidbek Mirzakhalov , Ryan M. Carney , Sriram Chellappan
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