Cargando…

Surveillance of panicle positions by unmanned aerial vehicle to reveal morphological features of rice

Rice plant architecture affects biomass and grain yield. Thus, it is important to select rice genotypes with ideal plant architecture. High-throughput phenotyping by use of an unmanned aerial vehicle (UAV) allows all lines in a field to be observed in less time than with traditional procedures. Howe...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ogawa, Daisuke, Sakamoto, Toshihiro, Tsunematsu, Hiroshi, Yamamoto, Toshio, Kanno, Noriko, Nonoue, Yasunori, Yonemaru, Jun-ichi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822732/ https://www.ncbi.nlm.nih.gov/pubmed/31671163 http://dx.doi.org/10.1371/journal.pone.0224386

Ejemplares similares

Haplotype analysis from unmanned aerial vehicle imagery of rice MAGIC population for the trait dissection of biomass and plant architecture
por: Ogawa, Daisuke, et al.
Publicado: (2020)

Discovery of QTL Alleles for Grain Shape in the Japan-MAGIC Rice Population Using Haplotype Information
por: Ogawa, Daisuke, et al.
Publicado: (2018)

Remote-Sensing-Combined Haplotype Analysis Using Multi-Parental Advanced Generation Inter-Cross Lines Reveals Phenology QTLs for Canopy Height in Rice
por: Ogawa, Daisuke, et al.
Publicado: (2021)

Haplotype-based allele mining in the Japan-MAGIC rice population
por: Ogawa, Daisuke, et al.
Publicado: (2018)

Automated Counting of Rice Panicle by Applying Deep Learning Model to Images from Unmanned Aerial Vehicle Platform
por: Zhou, Chengquan, et al.
Publicado: (2019)

Prediction of heading date, culm length, and biomass from canopy-height-related parameters derived from time-series UAV observations of rice
por: Taniguchi, Shoji, et al.
Publicado: (2022)

Handbook of unmanned aerial vehicles
por: Valavanis, Kimon, et al.
Publicado: (2015)

Guidance of Unmanned Aerial Vehicles
por: Yanushevsky, Rafael
Publicado: (2011)

International Symposium on Unmanned Aerial Vehicles
por: Valavanis, Kimon, et al.
Publicado: (2009)

Unmanned aerial vehicles: embedded control
por: Lozano, R
Publicado: (2010)

Sorghum Panicle Detection and Counting Using Unmanned Aerial System Images and Deep Learning
por: Lin, Zhe, et al.
Publicado: (2020)

Cooperative Surveillance and Pursuit Using Unmanned Aerial Vehicles and Unattended Ground Sensors
por: Las Fargeas, Jonathan, et al.
Publicado: (2015)

Bio-inspired computation in unmanned aerial vehicles
por: Duan, Haibin, et al.
Publicado: (2014)

Recent advances in research on unmanned aerial vehicles
por: Fahroo, Fariba, et al.
Publicado: (2013)

Reliability and Maintenance Analysis of Unmanned Aerial Vehicles †
por: Petritoli, Enrico, et al.
Publicado: (2018)

Multispectral Detection of Commercial Unmanned Aerial Vehicles
por: Farlik, Jan, et al.
Publicado: (2019)

An Optimal Routing Algorithm for Unmanned Aerial Vehicles
por: Kim, Sooyeon, et al.
Publicado: (2021)

Microphones as Airspeed Sensors for Unmanned Aerial Vehicles
por: Makaveev, Momchil, et al.
Publicado: (2023)

Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging
por: Zhao, Xin, et al.
Publicado: (2019)

Autonomous Vision-Based Aerial Grasping for Rotorcraft Unmanned Aerial Vehicles
por: Lin, Lishan, et al.
Publicado: (2019)

Unmanned aerial vehicles for surveillance and control of vectors of malaria and other vector-borne diseases
por: Mechan, Frank, et al.
Publicado: (2023)

Precision wildlife monitoring using unmanned aerial vehicles
por: Hodgson, Jarrod C., et al.
Publicado: (2016)

Vision-Based SLAM System for Unmanned Aerial Vehicles
por: Munguía, Rodrigo, et al.
Publicado: (2016)

Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
por: Caturegli, Lisa, et al.
Publicado: (2016)

Applications of unmanned aerial vehicles in intertidal reef monitoring
por: Murfitt, Sarah L., et al.
Publicado: (2017)

The Use of Unmanned Aerial Vehicles in Remote Sensing Systems †
por: Olejnik, Aleksander, et al.
Publicado: (2020)

Registering Unmanned Aerial Vehicle Videos in the Long Term
por: Lemaire, Pierre, et al.
Publicado: (2021)

A Review on Auditory Perception for Unmanned Aerial Vehicles
por: Martinez-Carranza, Jose, et al.
Publicado: (2020)

Applications of unmanned aerial vehicles in Antarctic environmental research
por: Tovar-Sánchez, Antonio, et al.
Publicado: (2021)

Complex Environment Path Planning for Unmanned Aerial Vehicles
por: Zhang, Jing, et al.
Publicado: (2021)

Recent Advances in Unmanned Aerial Vehicles: A Review
por: Ahmed, Faiyaz, et al.
Publicado: (2022)

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview
por: Dias Santana, Guilherme Marcel, et al.
Publicado: (2021)

Threats from and Countermeasures for Unmanned Aerial and Underwater Vehicles
por: Khawaja, Wahab, et al.
Publicado: (2022)

Distributed Blockchain-Based Platform for Unmanned Aerial Vehicles
por: Ahamed Ahanger, Tariq, et al.
Publicado: (2022)

Dataset for the cumulative unmanned aerial vehicle routing problem
por: Kyriakakis, Nikolaos A., et al.
Publicado: (2023)

Remote Estimation of Rice Yield With Unmanned Aerial Vehicle (UAV) Data and Spectral Mixture Analysis
por: Duan, Bo, et al.
Publicado: (2019)

Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
por: Bellis, Emily S., et al.
Publicado: (2022)

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks
por: Kumar, Kirshna, et al.
Publicado: (2020)

Automatic Extraction of Power Lines from Aerial Images of Unmanned Aerial Vehicles
por: Song, Jiang, et al.
Publicado: (2022)

Visual Pose Estimation of Rescue Unmanned Surface Vehicle From Unmanned Aerial System
por: Dufek, Jan, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_d42qk8hknmrcg30c02lunq6v7m