scholarly journals High-throughput field phenotyping in dry bean using small unmanned aerial vehicle based multispectral imagery

2018 ◽  
Vol 151 ◽  
pp. 84-92 ◽  
Author(s):  
Sindhuja Sankaran ◽  
Jianfeng Zhou ◽  
Lav R. Khot ◽  
Jennifer J. Trapp ◽  
Eninka Mndolwa ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
Multispectral Imagery ◽  
Dry Bean ◽  
Field Phenotyping ◽  
Aerial Vehicle

scholarly journals Assessment of Multi-Image Unmanned Aerial Vehicle Based High-Throughput Field Phenotyping of Canopy Temperature

2020 ◽  
Vol 11 ◽  
Author(s):  
Gregor Perich ◽  
Andreas Hund ◽  
Jonas Anderegg ◽  
Lukas Roth ◽  
Martin P. Boer ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
Canopy Temperature ◽  
Field Phenotyping ◽  
Aerial Vehicle

scholarly journals Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Léa Tresch ◽  
Yue Mu ◽  
Atsushi Itoh ◽  
Akito Kaga ◽  
Kazunori Taguchi ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
Field Conditions ◽  
Processing Step ◽  
Field Phenotyping ◽  
Binary Segmentation ◽  
Aerial Vehicle ◽  
Uav Images

Microplot extraction (PE) is a necessary image processing step in unmanned aerial vehicle- (UAV-) based research on breeding fields. At present, it is manually using ArcGIS, QGIS, or other GIS-based software, but achieving the desired accuracy is time-consuming. We therefore developed an intuitive, easy-to-use semiautomatic program for MPE called Easy MPE to enable researchers and others to access reliable plot data UAV images of whole fields under variable field conditions. The program uses four major steps: (1) binary segmentation, (2) microplot extraction, (3) production of ∗.shp files to enable further file manipulation, and (4) projection of individual microplots generated from the orthomosaic back onto the raw aerial UAV images to preserve the image quality. Crop rows were successfully identified in all trial fields. The performance of the proposed method was evaluated by calculating the intersection-over-union (IOU) ratio between microplots determined manually and by Easy MPE: the average IOU (±SD) of all trials was 91% (±3).

scholarly journals Easy MPE: Extraction of quality microplot images for UAV-based high-throughput field phenotyping

2019 ◽  
Author(s):  
Léa Tresch ◽  
Yue Mu ◽  
Atsushi Itoh ◽  
Akito Kaga ◽  
Kazunori Taguchi ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
Automatic Program ◽  
Processing Step ◽  
Field Phenotyping ◽  
Binary Segmentation ◽  
Aerial Vehicle ◽  
Uav Images

AbstractMicroplot extraction (MPE) is a necessary image-processing step in unmanned aerial vehicle (UAV)-based research on breeding fields. At present, it is manually using ArcGIS, QGIS or other GIS-based software, but achieving the desired accuracy is time-consuming. We therefore developed an intuitive, easy-to-use semi-automatic program for MPE called Easy MPE to enable researchers and others to access reliable plot data UAV images of whole fields under variable field conditions. The program uses four major steps: (1). Binary segmentation, (2). Microplot extraction, (3). Production of *.shp files to enable further file manipulation, and (4). Projection of individual microplots generated from the orthomosaic back onto the raw aerial UAV images to preserve the image quality. Crop rows were successfully identified in all trial fields. The performance of proposed method was evaluated by calculating the intersection-over-union (IOU) ratio between microplots determined manually and by Easy MPE: The average IOU (±SD) of all trials was 91% (±3).

Unmanned aerial vehicle-based field phenotyping of crop biomass using growth traits retrieved from PROSAIL model

2021 ◽  
Vol 187 ◽  
pp. 106304
Author(s):  
Liang Wan ◽  
Jiafei Zhang ◽  
Xiaoya Dong ◽  
Xiaoyue Du ◽  
Jiangpeng Zhu ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Growth Traits ◽  
Field Phenotyping ◽  
Aerial Vehicle ◽  
Crop Biomass

scholarly journals Review: Cost-Effective Unmanned Aerial Vehicle (UAV) Platform for Field Plant Breeding Application

2020 ◽  
Vol 12 (6) ◽  
pp. 998 ◽  
Author(s):  
GyuJin Jang ◽  
Jaeyoung Kim ◽  
Ju-Kyung Yu ◽  
Hak-Jin Kim ◽  
Yoonha Kim ◽  
...  
Keyword(s):  
Plant Breeding ◽  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
New Technologies ◽  
Cost Effective ◽  
New Wave ◽  
Breeding Programs ◽  
Modern Agriculture ◽  
Aerial Vehicle ◽  
High Throughput Phenotyping

Utilization of remote sensing is a new wave of modern agriculture that accelerates plant breeding and research, and the performance of farming practices and farm management. High-throughput phenotyping is a key advanced agricultural technology and has been rapidly adopted in plant research. However, technology adoption is not easy due to cost limitations in academia. This article reviews various commercial unmanned aerial vehicle (UAV) platforms as a high-throughput phenotyping technology for plant breeding. It compares known commercial UAV platforms that are cost-effective and manageable in field settings and demonstrates a general workflow for high-throughput phenotyping, including data analysis. The authors expect this article to create opportunities for academics to access new technologies and utilize the information for their research and breeding programs in more workable ways.

A field-based high-throughput method for acquiring canopy architecture using unmanned aerial vehicle images

2021 ◽  
Vol 296 ◽  
pp. 108231
Author(s):  
Fusang Liu ◽  
Pengcheng Hu ◽  
Bangyou Zheng ◽  
Tao Duan ◽  
Binglin Zhu ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
High Throughput ◽  
Canopy Architecture ◽  
High Throughput Method ◽  
Aerial Vehicle
Sign in / Sign up

Export Citation Format

Share Document