Cargando…

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

Rapid and accurate assessment of yield and nitrogen use efficiency (NUE) is essential for growth monitoring, efficient utilization of fertilizer and precision management. This study explored the potential of a consumer-grade DJI Phantom 4 Multispectral (P4M) camera for yield or NUE assessment in win...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Jikai, Zhu, Yongji, Tao, Xinyu, Chen, Xiaofang, Li, Xinwei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638066/ https://www.ncbi.nlm.nih.gov/pubmed/36352879 http://dx.doi.org/10.3389/fpls.2022.1032170

Ejemplares similares

Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
por: Lu, Ning, et al.
Publicado: (2019)

Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
por: Yang, Baohua, et al.
Publicado: (2019)

Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery
por: Xia, Fulin, et al.
Publicado: (2022)

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

Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice
por: Zheng, Hengbiao, et al.
Publicado: (2018)

Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery
por: Liang, Ting, et al.
Publicado: (2021)

Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery
por: Tatsumi, Kenichi, et al.
Publicado: (2021)

Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data
por: Fei, Shuaipeng, et al.
Publicado: (2021)

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

Experimental Study of Multispectral Characteristics of an Unmanned Aerial Vehicle at Different Observation Angles
por: Zheng, Haijing, et al.
Publicado: (2018)

Monitoring Maize Lodging Grades via Unmanned Aerial Vehicle Multispectral Image
por: Sun, Qian, et al.
Publicado: (2019)

Phenotyping Flowering in Canola (Brassica napus L.) and Estimating Seed Yield Using an Unmanned Aerial Vehicle-Based Imagery
por: Zhang, Ti, et al.
Publicado: (2021)

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

Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery
por: Hong, Suk-Ju, et al.
Publicado: (2019)

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

Applications of Unmanned Aerial Vehicle Based Imagery in Turfgrass Field Trials
por: Zhang, Jing, et al.
Publicado: (2019)

Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping
por: Hassan, Muhammad Adeel, et al.
Publicado: (2021)

Real-Time Vehicle-Detection Method in Bird-View Unmanned-Aerial-Vehicle Imagery
por: Han, Seongkyun, et al.
Publicado: (2019)

Estimation of Peanut Leaf Area Index from Unmanned Aerial Vehicle Multispectral Images
por: Qi, Haixia, et al.
Publicado: (2020)

Plant phenomics & precision agriculture simulation of winter wheat growth by the assimilation of unmanned aerial vehicle imagery into the WOFOST model
por: Yang, Tianle, et al.
Publicado: (2021)

Analysis and Evaluation of the Image Preprocessing Process of a Six-Band Multispectral Camera Mounted on an Unmanned Aerial Vehicle for Winter Wheat Monitoring
por: Jiang, Jiale, et al.
Publicado: (2019)

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

Using Unmanned Aerial Vehicle-Based Multispectral Image Data to Monitor the Growth of Intercropping Crops in Tea Plantation
por: Shi, Yujie, et al.
Publicado: (2022)

Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping
por: Borra-Serrano, Irene, et al.
Publicado: (2015)

Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery
por: Matese, Alessandro, et al.
Publicado: (2022)

Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles
por: Jenal, Alexander, et al.
Publicado: (2019)

Estimating potassium in potato plants based on multispectral images acquired from unmanned aerial vehicles
por: Ma, YanPeng, et al.
Publicado: (2023)

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

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

Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery
por: Cardil, Adrián, et al.
Publicado: (2019)

Mapping of Agricultural Subsurface Drainage Systems Using Unmanned Aerial Vehicle Imagery and Ground Penetrating Radar †
por: Koganti, Triven, et al.
Publicado: (2021)

Calibration of Electrochemical Sensors for Nitrogen Dioxide Gas Detection Using Unmanned Aerial Vehicles
por: Mawrence, Raphael, et al.
Publicado: (2020)

Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery
por: Ma, Yalong, et al.
Publicado: (2016)

Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots
por: Lelong, Camille C. D., et al.
Publicado: (2008)

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
por: Huang, Huasheng, et al.
Publicado: (2018)

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

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

Multispectral imaging and unmanned aerial systems for cotton plant phenotyping
por: Xu, Rui, et al.
Publicado: (2019)

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

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

Cannot write session to /tmp/vufind_sessions/sess_jcjbkjgtd323l5mkagbifap9jb