Editorial: Synthetic data for computer vision in agriculture

Editorial: Synthetic data for computer vision in agriculture

Bibliographic Details
Main Authors:	Manya Afonso, Valerio Giufrida
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Plant Science
Subjects:	synthetic data computer vision in agriculture segmentation deep learning object detection
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2023.1277073/full

Similar Items

Generate-Paste-Blend-Detect: Synthetic dataset for object detection in the agriculture domain
by: Nikolaos Giakoumoglou, et al.
Published: (2023-10-01)

A Review of Synthetic Image Data and Its Use in Computer Vision
by: Keith Man, et al.
Published: (2022-11-01)

Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset
by: Natalia Sapoukhina, et al.
Published: (2022-11-01)

Fast Synthetic Dataset for Kitchen Object Segmentation in Deep Learning
by: Ruben Sagues-Tanco, et al.
Published: (2020-01-01)

Synthetic Data Generation for Visual Detection of Flattened PET Bottles
by: Vitālijs Feščenko, et al.
Published: (2022-12-01)

Automatic Asbestos Control Using Deep Learning Based Computer Vision System
by: Vasily Zyuzin, et al.
Published: (2021-11-01)

Investigating the optimisation of real-world and synthetic object detection training datasets through the consideration of environmental and simulation factors
by: Callum Newman, et al.
Published: (2022-05-01)

Machine vision detection of foreign objects in coal using deep learning
by: Wang Weidong, et al.
Published: (2021-02-01)

Deep learning based computer vision approaches for smart agricultural applications
by: V.G. Dhanya, et al.
Published: (2022-01-01)

Editorial: Computer vision in plant phenotyping and agriculture
by: Ian Stavness, et al.
Published: (2023-05-01)

A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision
by: Nikoleta Manakitsa, et al.
Published: (2024-01-01)

Automating Seedling Counts in Horticulture Using Computer Vision and AI
by: Fernando Fuentes-Peñailillo, et al.
Published: (2023-10-01)

An Augmented Reality Periscope for Submarines with Extended Visual Classification
by: André Breitinger, et al.
Published: (2021-11-01)

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
by: Juan Terven, et al.
Published: (2023-11-01)

Synthetic Data for Sentinel-2 Semantic Segmentation
by: Étienne Clabaut, et al.
Published: (2024-02-01)

A review of the application of machine vision in power safety monitoring
by: WANG Liuwang
Published: (2022-10-01)

Computer Vision Based Planogram Compliance Evaluation
by: Julius Laitala, et al.
Published: (2023-09-01)

Visual blockage assessment at culverts using synthetic images to mitigate blockage-originated floods
by: Umair Iqbal, et al.
Published: (2023-07-01)

SHIP-YOLO: A Lightweight Synthetic Aperture Radar Ship Detection Model Based on YOLOv8n Algorithm
by: Yonghang Luo, et al.
Published: (2024-01-01)

A Deep Learning-Based Dirt Detection Computer Vision System for Floor-Cleaning Robots with Improved Data Collection
by: Daniel Canedo, et al.
Published: (2021-12-01)

Synthetic Data Generation for Steel Defect Detection and Classification Using Deep Learning
by: Aleksei Boikov, et al.
Published: (2021-06-01)

Measuring Shape Parameters of Pearls in Batches Using Machine Vision: A Case Study
by: Xinying Liu, et al.
Published: (2022-03-01)

Synthetic Data Generation Based on RDB-CycleGAN for Industrial Object Detection
by: Jiwei Hu, et al.
Published: (2023-11-01)

Detecting the overfilled status of domestic and commercial bins using computer vision
by: Cathaoir Agnew, et al.
Published: (2023-05-01)

Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline
by: Anna Gelencsér-Horváth, et al.
Published: (2022-04-01)

Synthetic Data and Computer-Vision-Based Automated Quality Inspection System for Reused Scaffolding
by: Alexander Kim, et al.
Published: (2022-10-01)

PD-SegNet: Semantic Segmentation of Small Agricultural Targets in Complex Environments
by: Zhijia Zhu, et al.
Published: (2023-01-01)

Application of Machine Vision Techniques in Low-Cost Devices to Improve Efficiency in Precision Farming
by: Juan Felipe Jaramillo-Hernández, et al.
Published: (2024-01-01)

Rulers2023: An Annotated Dataset of Synthetic and Real Images for Ruler Detection Using Deep Learning
by: Dalius Matuzevičius
Published: (2023-12-01)

Dataset of annotated food crops and weed images for robotic computer vision control
by: Kaspars Sudars, et al.
Published: (2020-08-01)

A Vision Detection Scheme Based on Deep Learning in a Waste Plastics Sorting System
by: Shengping Wen, et al.
Published: (2023-04-01)

Real-Time Computer Vision for Tree Stem Detection and Tracking
by: Lucas A. Wells, et al.
Published: (2023-01-01)

Seeking a Sufficient Data Volume for Railway Infrastructure Component Detection with Computer Vision Models
by: Alicja Gosiewska, et al.
Published: (2023-09-01)

Train Distance Estimation in Turnout Area Based on Monocular Vision
by: Yang Hao, et al.
Published: (2023-10-01)

TANet: Transformer‐based asymmetric network for RGB‐D salient object detection
by: Chang Liu, et al.
Published: (2023-06-01)

Editorial: Machine vision and machine learning for plant phenotyping and precision agriculture
by: Huajian Liu, et al.
Published: (2023-11-01)

Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
by: Patrick Trampert, et al.
Published: (2021-03-01)

Smart Agriculture: A Fruit Flower Cluster Detection Strategy in Apple Orchards Using Machine Vision and Learning
by: Joseph Lee, et al.
Published: (2022-11-01)

Attention Mask R-CNN for Ship Detection and Segmentation From Remote Sensing Images
by: Xuan Nie, et al.
Published: (2020-01-01)

YOLOv7-Plum: Advancing Plum Fruit Detection in Natural Environments with Deep Learning
by: Rong Tang, et al.
Published: (2023-08-01)