Cargando…

Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images

BACKGROUND: The flowering period is a critical time for the growth of rape plants. Counting rape flower clusters can help farmers to predict the yield information of the corresponding rape fields. However, counting in-field is a time-consuming and labor-intensive task. To address this, we explored a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Jie, Wang, Enguo, Qiao, Jiangwei, Li, Yi, Li, Li, Yao, Jian, Liao, Guisheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127388/ https://www.ncbi.nlm.nih.gov/pubmed/37095540 http://dx.doi.org/10.1186/s13007-023-01017-x

Ejemplares similares

Automatic counting of rapeseed inflorescences using deep learning method and UAV RGB imagery
por: Li, Jie, et al.
Publicado: (2023)

Automatic kernel counting on maize ear using RGB images
por: Wu, Di, et al.
Publicado: (2020)

Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images
por: Fernandez-Gallego, Jose A., et al.
Publicado: (2018)

Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images
por: Guo, Wei, et al.
Publicado: (2015)

The automatic recognition and counting of cough
por: Barry, Samantha J, et al.
Publicado: (2006)

Automatic freezing-tolerant rapeseed material recognition using UAV images and deep learning
por: Li, Lili, et al.
Publicado: (2022)

The estimation of crop emergence in potatoes by UAV RGB imagery
por: Li, Bo, et al.
Publicado: (2019)

Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images
por: Bai, Xiaodong, et al.
Publicado: (2023)

Evaluation of novel precision viticulture tool for canopy biomass estimation and missing plant detection based on 2.5D and 3D approaches using RGB images acquired by UAV platform
por: Di Gennaro, Salvatore Filippo, et al.
Publicado: (2020)

An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits
por: López-Granados, Francisca, et al.
Publicado: (2019)

Mapping Tobacco Fields Using UAV RGB Images
por: Zhu, Xiufang, et al.
Publicado: (2019)

Ramie Yield Estimation Based on UAV RGB Images
por: Fu, Hongyu, et al.
Publicado: (2021)

Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking
por: Ariza-Sentís, Mar, et al.
Publicado: (2022)

Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape
por: Veys, Charles, et al.
Publicado: (2019)

Automatic Indoor as-Built Building Information Models Generation by Using Low-Cost RGB-D Sensors
por: Li, Yaxin, et al.
Publicado: (2020)

Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask
por: Ren, Guoyin, et al.
Publicado: (2022)

RGB image-based method for phenotyping rust disease progress in pea leaves using R
por: Osuna-Caballero, Salvador, et al.
Publicado: (2023)

Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV
por: de Oliveira, Diulhio Candido, et al.
Publicado: (2018)

Deep Learning Applied to Phenotyping of Biomass in Forages with UAV-Based RGB Imagery
por: Castro, Wellington, et al.
Publicado: (2020)

Explainable identification and mapping of trees using UAV RGB image and deep learning
por: Onishi, Masanori, et al.
Publicado: (2021)

DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field
por: Jiang, Yu, et al.
Publicado: (2020)

Enhanced peptide quantification using spectral count clustering and cluster abundance
por: Lee, Seungmook, et al.
Publicado: (2011)

Protocol: optimisation of a grafting protocol for oilseed rape (Brassica napus) for studying long-distance signalling
por: Ostendorp, Anna, et al.
Publicado: (2016)

Transfer Assessment of Carbendazim Residues from Rape Flowers to Apicultural Products
por: Li, Ying-Hong, et al.
Publicado: (2017)

Transfer and Metabolism of Triadimefon Residues from Rape Flowers to Apicultural Products
por: Li, Ying-Hong, et al.
Publicado: (2017)

Sequencing-based variant detection in the polyploid crop oilseed rape
por: Wells, Rachel, et al.
Publicado: (2013)

UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation
por: Wittstruck, Lucas, et al.
Publicado: (2020)

Maize Canopy Temperature Extracted From UAV Thermal and RGB Imagery and Its Application in Water Stress Monitoring
por: Zhang, Liyuan, et al.
Publicado: (2019)

Development of high-throughput methods to screen disease caused by Rhizoctonia solani AG 2-1 in oilseed rape
por: Drizou, Fryni, et al.
Publicado: (2017)

Mid-infrared spectroscopy combined with chemometrics to detect Sclerotinia stem rot on oilseed rape (Brassica napus L.) leaves
por: Zhang, Chu, et al.
Publicado: (2017)

Automatic detection of false annotations via binary property clustering
por: Kaplan, Noam, et al.
Publicado: (2005)

A novel deletion in FLOWERING LOCUS T modulates flowering time in winter oilseed rape
por: Vollrath, Paul, et al.
Publicado: (2021)

Counting Cattle in UAV Images—Dealing with Clustered Animals and Animal/Background Contrast Changes
por: Barbedo, Jayme Garcia Arnal, et al.
Publicado: (2020)

Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV)
por: Neupane, Bipul, et al.
Publicado: (2019)

A multi-scale approach to detecting standing dead trees in UAV RGB images based on improved faster R-CNN
por: Jiang, Xiangtao, et al.
Publicado: (2023)

A rule-based algorithm for automatic bond type perception
por: Zhang, Qian, et al.
Publicado: (2012)

Methods for analyzing cost effectiveness data from cluster randomized trials
por: Bachmann, Max O, et al.
Publicado: (2007)

Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models
por: Baykalov, Pavel, et al.
Publicado: (2023)

Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
por: dos Santos, Anderson Aparecido, et al.
Publicado: (2019)

Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques
por: Buchaillot, Ma. Luisa, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_apjk6vc7un7i2l74l0qo7n10qi