Amanote Research

Amanote Research

    RegisterSign In

Identification of Double-Yolked Duck Egg Using Computer Vision

PLoS ONE - United States
doi 10.1371/journal.pone.0190054
Full Text
Open PDF
Abstract

Available in full text

Categories
Multidisciplinary
Date

December 21, 2017

Authors
Long MaKe SunKang TuLeiqing PanWei Zhang
Publisher

Public Library of Science (PLoS)


Related search

Glioblastoma Multiforme Identification From Medical Imaging Using Computer Vision

International Journal of Soft Computing, Mathematics and Control
2014English

Identification of Rice Quality Through Pattern Classification Using Computer Vision Image Processing

2020English

Automated Identification of Benthic Epifauna With Computer Vision

Marine Ecology - Progress Series
EvolutionEcologySystematicsAquatic ScienceBehavior
2019English

GUI Testing Using Computer Vision

2010English

Aberrant Epileptic Seizure Identification: A Computer Vision Perspective

Seizure : the journal of the British Epilepsy Association
MedicineNeurology
2019English

Virtual Drum Simulator Using Computer Vision

2016English

Object Tracking Using Computer Vision Techniques

CVR Journal of Science & Technology
2014English

A Cost-Effective Approach for Chicken Egg Weight Estimation Through Computer Vision

International Journal of Agriculture, Environment and Food Sciences
2018English

Improving Radio Frequency Identification-Based Localization Accuracy Using Computer-Vision-Assisted Sensor Deployment Technology

Sensors and Materials
Materials ScienceInstrumentation
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy