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Automatic Moth Detection from Trap Images for Pest Management

Automatic Moth Detection from Trap Images for Pest Management

24 February 2016
Weiguang Ding
Graham W. Taylor
ArXiv (abs)PDFHTML

Papers citing "Automatic Moth Detection from Trap Images for Pest Management"

13 / 13 papers shown
Title
Locally Grouped and Scale-Guided Attention for Dense Pest Counting
Locally Grouped and Scale-Guided Attention for Dense Pest CountingInternational Journal of Intelligent Systems (IJIS), 2024
Chang-Hwan Son
73
0
0
29 Aug 2024
Performance of computer vision algorithms for fine-grained
  classification using crowdsourced insect images
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect imagesIET Computer Vision (ICV), 2024
Rita Pucci
Vincent J. Kalkman
Dan Stowell
158
4
0
04 Apr 2024
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect
  Localization and Species Classification
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
D. Korsch
P. Bodesheim
Joachim Denzler
152
15
0
28 Jul 2023
Comparison between transformers and convolutional models for
  fine-grained classification of insects
Comparison between transformers and convolutional models for fine-grained classification of insects
Rita Pucci
Vincent J. Kalkman
D. Stowell
62
2
0
20 Jul 2023
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet
  Integrating Internal LR and HR Joint Feature Learning
Trap-Based Pest Counting: Multiscale and Deformable Attention CenterNet Integrating Internal LR and HR Joint Feature LearningRemote Sensing (RS), 2023
Jae Hyeon Lee
Chang-Hwan Son
79
4
0
05 Apr 2023
BOLLWM: A real-world dataset for bollworm pest monitoring from cotton
  fields in India
BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India
J. White
Chandan Agrawal
Anmol Ojha
Apoorv Agnihotri
Makkunda Sharma
Jigar Doshi
133
1
0
03 Apr 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network
GCNet: Probing Self-Similarity Learning for Generalized Counting NetworkPattern Recognition (Pattern Recogn.), 2023
Mingjie Wang
Yande Li
Jun Zhou
Graham W. Taylor
Minglun Gong
175
17
0
10 Feb 2023
A Case for Rejection in Low Resource ML Deployment
A Case for Rejection in Low Resource ML Deployment
J. White
Pulkit Madaan
Nikhil Shenoy
Apoorv Agnihotri
Makkunda Sharma
Jigar Doshi
OffRL
111
3
0
12 Aug 2022
AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platform
AlertTrap: A study on object detection in remote insects trap monitoring system using on-the-edge deep learning platformJournal of Computational and Cognitive Engineering (JCCE), 2021
A. D. Le
Duy A. Pham
Dong T. Pham
H. Vo
89
11
0
26 Dec 2021
Automated Pest Detection with DNN on the Edge for Precision Agriculture
Automated Pest Detection with DNN on the Edge for Precision Agriculture
Andrea Albanese
M. Nardello
Davide Brunelli
116
104
0
01 Aug 2021
Automatic image-based identification and biomass estimation of
  invertebrates
Automatic image-based identification and biomass estimation of invertebratesMethods in Ecology and Evolution (Methods Ecol. Evol.), 2020
J. Ärje
C. Melvad
M. R. Jeppesen
S. A. Madsen
Jenni Raitoharju
...
Alexandros Iosifidis
V. Tirronen
Kristian Meissner
Moncef Gabbouj
T. Høye
90
77
0
05 Feb 2020
Wasserstein Distance Guided Cross-Domain Learning
Wasserstein Distance Guided Cross-Domain Learning
Jie Su
OOD
48
0
0
14 Oct 2019
Support Vector Machine (SVM) Recognition Approach adapted to Individual
  and Touching Moths Counting in Trap Images
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images
Mohammed Chafik Bakkay
Sylvie Chambon
Hatem A. Rashwan
Christian Lubat
S. Barsotti
32
4
0
18 Sep 2018
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