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The Asian giant hornet (AGH) appeared in Washington State appears to have a potential danger of bioinvasion. Washington State has collected public photos and videos of detected insects for verification and further investigation. In this…

Artificial Intelligence · Computer Science 2021-11-29 Changjie Lu , Shen Zheng , Hailu Qiu

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…

Honey bees play a crucial role in pollination, contributing significantly to global agriculture and ecosystems. Accurately estimating hive populations is essential for understanding the effects of environmental factors on bee colonies, yet…

Quantitative Methods · Quantitative Biology 2025-12-15 Junmin Zhong , Jon F. Harrison , Jennie Si , Jun Chen

The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Md. Mahmudul Hasan , SM Shaqib , Ms. Sharmin Akter , Rabiul Alam , Afraz Ul Haque , Shahrun akter khushbu

Locust infestation of some regions in the world, including Africa, Asia and Middle East has become a concerning issue that can affect the health and the lives of millions of people. In this respect, there have been attempts to resolve or…

Biodiversity loss poses a significant threat to humanity, making wildlife monitoring essential for assessing ecosystem health. Avian species are ideal subjects for this due to their popularity and the ease of identifying them through their…

Machine Learning · Computer Science 2026-02-23 Nina Brolich , Simon Geis , Maximilian Kasper , Alexander Barnhill , Axel Plinge , Dominik Seuß

Insect pests continue to bring a serious threat to crop yields around the world, and traditional methods for monitoring them are often slow, manual, and difficult to scale. In recent years, deep learning has emerged as a powerful solution,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Muhammad Hassam Ejaz , Muhammad Bilal , Usman Habib , Muhammad Attique , Tae-Sun Chung

Many different species are adversely affected by poaching. In response to this escalating crisis, efforts to stop poaching using hidden cameras, drones and DNA tracking have been implemented with varying degrees of success. Limited…

Computer Vision and Pattern Recognition · Computer Science 2019-10-17 C. Chalmers , P. Fergus , Serge Wich , Aday Curbelo Montanez

Invasions of aquatic invasive species have imposed significant economic and ecological damage to global aquatic ecosystems. Once an invasive population has established in a new habitat, eradication can be financially and logistically…

Quantitative Methods · Quantitative Biology 2021-12-08 Amy C. Kinsley , Robert G. Haight , Nicholas Snellgrove , Petra Muellner , Ulrich Muellner , Meg Duhr , Nicholas B. D. Phelps

In this modern technological era, categorization and ranking of research journals is gaining popularity among researchers and scientists. It plays a significant role for publication of their research findings in a quality journal. Although,…

Digital Libraries · Computer Science 2022-10-07 Rabia Shabbir Ranjha , Arshad Ali , Shahid Yousaf

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…

The invasive spotted lanternfly (SLF) poses a significant threat to agriculture and ecosystems, causing widespread damage. Current control methods, such as egg scraping, pesticides, and quarantines, prove labor-intensive, environmentally…

Robotics · Computer Science 2025-09-09 Vinil Polepalli

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…

Computer Vision and Pattern Recognition · Computer Science 2023-08-14 Tianxiao Zhang , Kaidong Li , Xiangyu Chen , Cuncong Zhong , Bo Luo , Ivan Grijalva , Brian McCornack , Daniel Flippo , Ajay Sharda , Guanghui Wang

Influenza viruses mutate rapidly and can pose a threat to public health, especially to those in vulnerable groups. Throughout history, influenza A viruses have caused pandemics between different species. It is important to identify the…

Machine Learning · Computer Science 2024-05-24 Yanhua Xu , Dominik Wojtczak

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…

Computer Vision and Pattern Recognition · Computer Science 2021-07-27 Hieu T. Ung , Huy Q. Ung , Binh T. Nguyen

This paper studies the problem of autonomous agents performing Bayesian social learning for sequential detection when the observations of the state belong to a high-dimensional space and are expensive to analyze. Specifically, when the…

Social and Information Networks · Computer Science 2024-05-14 Adit Jain , Vikram Krishnamurthy

Pest counting, which predicts the number of pests in the early stage, is very important because it enables rapid pest control, reduces damage to crops, and improves productivity. In recent years, light traps have been increasingly used to…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Jae-Hyeon Lee , Chang-Hwan Son

Honey bees pollinate about one-third of the world's food supply, but bee colonies have alarmingly declined by nearly 40% over the past decade due to several factors, including pesticides and pests. Traditional methods for monitoring…

Machine Learning · Computer Science 2024-01-19 Andrew Liang

Knowledge over the number of animals in large wildlife reserves is a vital necessity for park rangers in their efforts to protect endangered species. Manual animal censuses are dangerous and expensive, hence Unmanned Aerial Vehicles (UAVs)…

Computer Vision and Pattern Recognition · Computer Science 2018-07-02 Benjamin Kellenberger , Diego Marcos , Devis Tuia

Implementing insect monitoring systems provides an excellent opportunity to create accurate interventions for insect control. However, selecting the appropriate time for an intervention is still an open question due to the inherent…

Quantitative Methods · Quantitative Biology 2023-12-29 Gabriel R. Palma , Rodrigo F. Mello , Wesley A. C. Godoy , Eduardo Engel , Douglas Lau , Charles Markham , Rafael A. Moral
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