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Citrus juices and fruits are commodities with great economic potential in the international market, but productivity losses caused by mites and other pests are still far from being a good mark. Despite the integrated pest mechanical aspect,…

计算机视觉与模式识别 · 计算机科学 2026-04-21 Edson Bollis , Helena Maia , Helio Pedrini , Sandra Avila

This study introduces a new dense pest counting problem to predict densely distributed pests captured by digital traps. Unlike traditional detection-based counting models for sparsely distributed objects, trap-based pest counting must deal…

计算机视觉与模式识别 · 计算机科学 2025-08-12 Chang-Hwan Son

Understanding mosquitoes life cycle is of great interest presently because of the increasing impact of vector borne diseases in several countries. There is evidence of oscillations in mosquito populations independent of seasonality, still…

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

We investigate a mathematical model in crop pest management, considering plant biomass, pest, and the effect of farming awareness. The pest population is divided into two compartments: susceptible pest and infected pest. We assume that the…

最优化与控制 · 数学 2021-03-30 Teklebirhan Abraha , Fahad Al Basir , Legesse Lemecha Obsu , Delfim F. M. Torres

Fine-grained classification is challenging due to the difficulty of finding discriminatory features. This problem is exacerbated when applied to identifying species within the same taxonomical class. This is because species are often…

计算机视觉与模式识别 · 计算机科学 2023-07-24 Rita Pucci , Vincent J. Kalkman , Dan Stowell

The management of natural environments, whether for conservation or production, requires a deep understanding of wildlife. The number, location, and behavior of wild animals are among the main subjects of study in ecology and wildlife…

Mosquito-borne diseases pose a major global health risk, requiring early detection and proactive control of breeding sites to prevent outbreaks. In this paper, we present VisText-Mosquito, a multimodal dataset that integrates visual and…

Agriculture has a significant role in a country's economy. The "SMARD" project aims to strengthen the country's agricultural sector by giving farmers with the information and tools they need to solve common difficulties and increase…

密码学与安全 · 计算机科学 2024-05-20 Tanoy Debnath , Shadman Wadith , Anichur Rahman

This paper aims at developing an automatic algorithm for moth recognition from trap images in real-world conditions. This method uses our previous work for detection [1] and introduces an adapted classification step. More precisely, SVM…

计算机视觉与模式识别 · 计算机科学 2018-09-19 Mohamed Chafik Bakkay , Sylvie Chambon , Hatem A. Rashwan , Christian Lubat , Sébastien Barsotti

With the increase in world population, food resources have to be modified to be more productive, resistive, and reliable. Wheat is one of the most important food resources in the world, mainly because of the variety of wheat-based products.…

机器人学 · 计算机科学 2022-07-01 Behzad Safarijalal , Yousef Alborzi , Esmaeil Najafi

Insect monitoring is critical to improve our understanding and ability to preserve and restore biodiversity, sustainably produce crops, and reduce vectors of human and livestock disease. However, conventional monitoring methods of trapping…

The development of practical and robust automated diagnostic systems for identifying plant pests is crucial for efficient agricultural production. In this paper, we first investigate three key research questions (RQs) that have not been…

计算机视觉与模式识别 · 计算机科学 2024-07-26 Ryosuke Wayama , Yuki Sasaki , Satoshi Kagiwada , Nobusuke Iwasaki , Hitoshi Iyatomi

The development and application of modern technology is an essential basis for the efficient monitoring of species in natural habitats and landscapes to trace the development of ecosystems, species communities, and populations, and to…

计算机视觉与模式识别 · 计算机科学 2022-11-24 Timm Haucke , Hjalmar S. Kühl , Volker Steinhage

Aedes aegypti is known as the responsible vector transmitting dengue flavivirus. Unavailability of medication to cure the transmission of the virus in the human blood becomes a global health issue in recent decades. World epidemiologists…

种群与进化 · 定量生物学 2017-12-04 Karunia Putra Wijaya , Thomas Goetz , Edy Soewono

Invasive pest establishment is a pervasive threat to global ecosystems, agriculture, and public health. The recent establishment of the invasive spotted lanternfly in the northeastern United States has proven devastating to farms and…

种群与进化 · 定量生物学 2021-12-22 Stephanie M. Lewkiewicz , Sebastiano De Bona , Matthew R. Helmus , Benjamin Seibold

Biological control strategies against mosquito-borne diseases--such as the sterile insect technique (SIT), RIDL, and Wolbachia-based releases--require reliable estimates of dispersal and survival of released males. We propose a…

种群与进化 · 定量生物学 2025-10-13 Nga Nguyen , Olivier Bonnefon , René Gato , Luis Almeida , Lionel Roques

We formulate an integrated pest management model to control natural pests of the crop through the periodic application of biopesticide and chemical pesticides. In a theoretical analysis of the system pest eradication, a periodic solution is…

最优化与控制 · 数学 2023-04-27 Fahad Al Basir , Jahangir Chowdhury , Delfim F. M. Torres

The host's odor serves as a critical biological tracking signal in the host-seeking process of mosquitoes, and its heterogeneity significantly influences the transmission of mosquito-borne diseases. In this study, we propose a…

种群与进化 · 定量生物学 2025-09-30 Haonan Zhong , Marina Lima , Andrea Pugliese , Michela Sabbatino , Cinzia Soresina , Tamas Tekeli

The soybean cyst nematode (SCN), Heterodera glycines, is the most damaging pathogen of soybeans in the United States. To assess the severity of nematode infestations in the field, SCN egg population densities are determined. Cysts (dead…

定量方法 · 定量生物学 2022-05-27 Upender Kalwa , Christopher Legner , Elizabeth Wlezien , Gregory Tylka , Santosh Pandey