Cargando…

A Framework for Identification of Healthy Potted Seedlings in Automatic Transplanting System Using Computer Vision

Automatic transplanting of seedlings is of great significance to vegetable cultivation factories. Accurate and efficient identification of healthy seedlings is the fundamental process of automatic transplanting. This study proposed a computer vision-based identification framework of healthy seedling...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jin, Xin, Wang, Chenglin, Chen, Kaikang, Ji, Jiangtao, Liu, Suchwen, Wang, Yawei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362899/ https://www.ncbi.nlm.nih.gov/pubmed/34394144 http://dx.doi.org/10.3389/fpls.2021.691753

Ejemplares similares

Study on Pear Flowers Detection Performance of YOLO-PEFL Model Trained With Synthetic Target Images
por: Wang, Chenglin, et al.
Publicado: (2022)

Automatic pest identification system in the greenhouse based on deep learning and machine vision
por: Zhang, Xiaolei, et al.
Publicado: (2023)

Selective transplantation method of leafy vegetable seedlings based on ResNet 18 network
por: Jin, Xin, et al.
Publicado: (2022)

In situ Root Phenotypes of Cotton Seedlings Under Phosphorus Stress Revealed Through RhizoPot
por: Zhang, Zichen, et al.
Publicado: (2021)

Response of root and root hair phenotypes of cotton seedlings under high temperature revealed with RhizoPot
por: Fan, Cong, et al.
Publicado: (2022)

Field-Deployable Computer Vision Wood Identification of Peruvian Timbers
por: Ravindran, Prabu, et al.
Publicado: (2021)

Making Biodegradable Seedling Pots from Textile and Paper Waste—Part B: Development and Evaluation of Seedling Pots
por: Juanga-Labayen, Jeanger P., et al.
Publicado: (2021)

Automatic identification and analysis of multi-object cattle rumination based on computer vision
por: Wang, Yueming, et al.
Publicado: (2023)

Research on machine vision and deep learning based recognition of cotton seedling aphid infestation level
por: Xu, Xin, et al.
Publicado: (2023)

Developing precision agriculture using data augmentation framework for automatic identification of castor insect pests
por: Nitin,, et al.
Publicado: (2023)

Seedling maize counting method in complex backgrounds based on YOLOV5 and Kalman filter tracking algorithm
por: Li, Yang, et al.
Publicado: (2022)

Importance of controlling mesocotyl elongation in the development of rice seedlings intended for mechanical transplantation
por: Jia, Yuanli, et al.
Publicado: (2023)

Identification of miRNAs Affecting the Establishment of Brassica Alboglabra Seedling
por: Guo, Rongfang, et al.
Publicado: (2016)

Design, development and application of a compact robotic transplanter with automatic seedling picking mechanism for plug-type seedlings
por: Khadatkar, Abhijit, et al.
Publicado: (2023)

Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review
por: Tang, Yunchao, et al.
Publicado: (2020)

Automatic human identification based on dental X-ray radiographs using computer vision
por: Heinrich, Andreas, et al.
Publicado: (2020)

Estimation of rice seedling growth traits with an end-to-end multi-objective deep learning framework
por: Ye, Ziran, et al.
Publicado: (2023)

OsNAC2 Is Involved in Multiple Hormonal Pathways to Mediate Germination of Rice Seeds and Establishment of Seedling
por: Yu, Jiangtao, et al.
Publicado: (2021)

Editorial: Synthetic data for computer vision in agriculture
por: Afonso, Manya, et al.
Publicado: (2023)

Vigour testing for the rice seed with computer vision-based techniques
por: Qiao, Juxiang, et al.
Publicado: (2023)

Growth of tomato and cucumber seedlings under different light environments and their development after transplanting
por: Liu, Xiaojuan, et al.
Publicado: (2023)

Automatic instance segmentation of orchard canopy in unmanned aerial vehicle imagery using deep learning
por: Zhang, Weirong, et al.
Publicado: (2022)

Changes in rhizosphere microbial communities in potted cucumber seedlings treated with syringic acid
por: Wang, Zhilin, et al.
Publicado: (2018)

Rapid appearance quality of rice based on machine vision and convolutional neural network research on automatic detection system
por: He, Yangfan, et al.
Publicado: (2023)

Dissecting the Genetic Architecture of Melon Chilling Tolerance at the Seedling Stage by Association Mapping and Identification of the Elite Alleles
por: Hou, Juan, et al.
Publicado: (2018)

Identification of SNPs and Candidate Genes Associated With Salt Tolerance at the Seedling Stage in Cotton (Gossypium hirsutum L.)
por: Sun, Zhengwen, et al.
Publicado: (2018)

Automatic detection of hand hygiene using computer vision technology
por: Singh, Amit, et al.
Publicado: (2020)

Convolutional Neural Networks for the Automatic Identification of Plant Diseases
por: Boulent, Justine, et al.
Publicado: (2019)

YOLO-VOLO-LS: A Novel Method for Variety Identification of Early Lettuce Seedlings
por: Zhang, Pan, et al.
Publicado: (2022)

Effects of Drought and Host on the Growth of Santalum album Seedlings in Pot Culture
por: Zhang, Qilei, et al.
Publicado: (2022)

PMVT: a lightweight vision transformer for plant disease identification on mobile devices
por: Li, Guoqiang, et al.
Publicado: (2023)

A Shape Reconstruction and Measurement Method for Spherical Hedges Using Binocular Vision
por: Zhang, Yawei, et al.
Publicado: (2022)

Towards Sustainable North American Wood Product Value Chains, Part I: Computer Vision Identification of Diffuse Porous Hardwoods
por: Ravindran, Prabu, et al.
Publicado: (2022)

Proteome Profiling of Paulownia Seedlings Infected with Phytoplasma
por: Cao, Xibing, et al.
Publicado: (2017)

Identification of Drought Tolerant Mechanisms in Maize Seedlings Based on Transcriptome Analysis of Recombination Inbred Lines
por: Min, Haowei, et al.
Publicado: (2016)

Genome-Wide Identification of Maize Aquaporin and Functional Analysis During Seed Germination and Seedling Establishment
por: Su, Yingchun, et al.
Publicado: (2022)

Computer Vision Based Automatic Recognition of Pointer Instruments: Data Set Optimization and Reading
por: Wang, Lu, et al.
Publicado: (2021)

Physiological and Nutritional Responses of Pear Seedlings to Nitrate Concentrations
por: Chen, Guodong, et al.
Publicado: (2018)

Automatic Identification of First-Order Veins and Corolla Contours in Three-Dimensional Floral Images
por: Wang, Yi-Hsiang, et al.
Publicado: (2020)

Melatonin Participates in Selenium-Enhanced Cold Tolerance of Cucumber Seedlings
por: Yang, Ning, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_da77lfdngdaa8f56rscvkt18jq