中文
相关论文

相关论文: YOLOv7 for Mosquito Breeding Grounds Detection and…

200 篇论文

Mosquito-borne diseases present considerable risks to the health of both animals and humans. Aedes aegypti mosquitoes are the primary vectors for numerous medically important viruses such as dengue, Zika, yellow fever, and chikungunya. To…

The efficiency of using the YOLOV5 machine learning model for solving the problem of automatic de-tection and recognition of micro-objects in the marine environment is studied. Samples of microplankton and microplastics were prepared,…

计算机视觉与模式识别 · 计算机科学 2022-11-29 Aleksandr N. Grekov , Yurii E. Shishkin , Sergei S. Peliushenko , Aleksandr S. Mavrin

The rapid spread of West Nile Virus (WNV) is a growing concern. With no vaccines or specific medications available, prevention through mosquito control is the only solution to curb the spread. Mosquito traps, used to detect viral presence…

应用统计 · 统计学 2024-06-12 Anwesha Chakravarti , Bo Li , Dan Bartlett , Patrick Irwin , Rebecca Smith

With the rapid development of remote sensing technology, crop classification and health detection based on deep learning have gradually become a research hotspot. However, the existing target detection methods show poor performance when…

计算机视觉与模式识别 · 计算机科学 2025-06-09 Linlin Xiao , Zhang Tiancong , Yutong Jia , Xinyu Nie , Mengyao Wang , Xiaohang Shao

Dengue is a climate-sensitive mosquito-borne disease with a complex transmission dynamic. Data related to climate, environmental and sociodemographic characteristics of the target population are important for project scenarios. Different…

Mosquito habitat ranges are projected to expand due to climate change. This investigation aims to identify future mosquito habitats by analyzing preferred ecological conditions of mosquito larvae. After assembling a data set with…

机器学习 · 计算机科学 2022-10-11 Christopher Sun , Jay Nimbalkar , Ravnoor Bedi

Autonomous aerial-surface robot teams offer a scalable solution for maritime monitoring, but deployment remains difficult due to water-induced visual artifacts and bandwidth-limited coordination. This paper presents a decentralized…

机器人学 · 计算机科学 2026-03-03 Muhammad Farhan Ahmed , Vincent Frémont

Modern image-based object detection models, such as YOLOv7, primarily process individual frames independently, thus ignoring valuable temporal context naturally present in videos. Meanwhile, existing video-based detection methods often…

计算机视觉与模式识别 · 计算机科学 2025-06-26 Yitong Quan , Benjamin Kiefer , Martin Messmer , Andreas Zell

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.…

计算机视觉与模式识别 · 计算机科学 2024-05-27 Ajay John Alex , Chloe M. Barnes , Pedro Machado , Isibor Ihianle , Gábor Markó , Martin Bencsik , Jordan J. Bird

There exists an urgent need for efficient tools in disease surveillance to help model and predict the spread of disease. The transmission of insect-borne diseases poses a serious concern to public health officials and the medical and…

机器人学 · 计算机科学 2020-09-01 Keran Ye , Gustavo J. Correa , Tom Guda , Hanzhe Teng , Anandasankar Ray , Konstantinos Karydis

The management of cattle over a huge area is still a challenging problem in the farming sector. With evolution in technology, Unmanned aerial vehicles (UAVs) with consumer level digital cameras are becoming a popular alternative to manual…

计算机视觉与模式识别 · 计算机科学 2022-12-23 Aparna Mendu , Bhavya Sehgal , Vaishnavi Mendu

Spot spraying represents an efficient and sustainable method for reducing the amount of pesticides, particularly herbicides, used in agricultural fields. To achieve this, it is of utmost importance to reliably differentiate between crops…

计算机视觉与模式识别 · 计算机科学 2025-01-31 Alicia Allmendinger , Ahmet Oğuz Saltık , Gerassimos G. Peteinatos , Anthony Stein , Roland Gerhards

Automatic object detection by satellite remote sensing images is of great significance for resource exploration and natural disaster assessment. To solve existing problems in remote sensing image detection, this article proposes an improved…

计算机视觉与模式识别 · 计算机科学 2025-02-06 Lei Yang , Guowu Yuan , Hao Zhou , Hongyu Liu , Jian Chen , Hao Wu

This study presents a deep learning-based optimization of YOLOv11 for cotton disease detection, developing an intelligent monitoring system. Three key challenges are addressed: (1) low precision in early spot detection (35% leakage rate for…

计算机视觉与模式识别 · 计算机科学 2025-08-20 Kaiyuan Wang , Jixing Liu , Xiaobo Cai

It is estimated that around 80\% of the world's population live in areas susceptible to at-least one major vector borne disease, and approximately 20% of global communicable diseases are spread by mosquitoes. Furthermore, the outbreaks of…

Dengue, a mosquito-borne disease, continues to pose a persistent public health challenge in urban areas, particularly in tropical regions such as Singapore. Effective and affordable control requires anticipating where transmission risks are…

人工智能 · 计算机科学 2026-01-26 Liping Huang , Gaoxi Xiao , Stefan Ma , Hechang Chen , Shisong Tang , Flora Salim

Vector-Borne Disease (VBD) is an infectious disease transmitted through the pathogenic female Aedes mosquito to humans and animals. It is important to control dengue disease by reducing the spread of Aedes mosquito vectors. Community…

计算机视觉与模式识别 · 计算机科学 2023-05-24 G. Jeyakodi , Trisha Agarwal , P. Shanthi Bala

Effective monitoring of wildlife is critical for assessing biodiversity and ecosystem health, as declines in key species often signal significant environmental changes. Birds, particularly ground-nesting species, serve as important…

计算机视觉与模式识别 · 计算机科学 2024-11-26 Carl Chalmers , Paul Fergus , Serge Wich , Steven N Longmore , Naomi Davies Walsh , Lee Oliver , James Warrington , Julieanne Quinlan , Katie Appleby

Dengue is a vector-borne disease transmitted by Aedes mosquitoes. The worldwide spread of these mosquitoes and the increasing disease burden have emphasized the need for a spatio-temporal risk map capable of assessing dengue outbreak…

应用统计 · 统计学 2023-10-11 Aram Vajdi , Lee W. Cohnstaedt , Caterina M. Scoglio

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