scholarly journals Multispectral imaging and unmanned aerial systems for cotton plant phenotyping

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0205083 ◽  
Author(s):  
Rui Xu ◽  
Changying Li ◽  
Andrew H. Paterson
Keyword(s):  
Cotton Plant ◽  
Multispectral Imaging ◽  
Plant Phenotyping ◽  
Unmanned Aerial Systems ◽  
Aerial Systems

scholarly journals Performance of aerial Bacillus thuringiensis var. israelensis applications in mixed saltmarsh-mangrove systems and use of affordable unmanned aerial systems to identify problematic levels of canopy cover

2020 ◽  
Author(s):  
Brian J. Johnson ◽  
Russell Manby ◽  
Gregor J. Devine
Keyword(s):  
Bacillus Thuringiensis ◽  
Multispectral Imaging ◽  
Mosquito Control ◽  
Larval Mortality ◽  
Canopy Cover ◽  
Ground Level ◽  
Unmanned Aerial Systems ◽  
Heterogeneous Environments ◽  
Vegetation Class ◽  
Aerial Systems

ABSTRACTBACKGROUNDIn the Australian southeast, the saltmarsh mosquito Aedes vigilax (Skuse) is the focus of area-wide larviciding campaigns employing the biological agent Bacillus thuringiensis var. israelensis (Bti). Although generally effective, frequent inundating tides and considerable mangrove cover can make control challenging. Here, we describe the efficacy and persistence of an aqueous Bti suspension (potency: 1200 International Toxic Units; strain AM65-52) within a mixed saltmarsh-mangrove system and the use of affordable unmanned aerial systems (UAS) to identify and map problematic levels of mangrove canopy cover.RESULTSHigh mangrove canopy density (>40% cover) reduced product deposition by 74.5% (0.013± 0.002 μl/cm2 vs. 0.051± 0.006 μl/cm2), larval mortality by 27.7% (60.7± 4.1% vs. 84.0± 2.4%), and ground level Bti concentrations by 32.03% (1144 ± 462.6 vs. 1683 ± 447.8 spores ml−1) relative to open saltmarsh. Persistence of product post-application was found to be low (80.6% loss at 6 h) resulting in negligible additional losses to tidal inundation 24 h post-application. UAS surveys accurately identified areas of high mangrove cover using both standard and multispectral imagery, although derived index values for this vegetation class were only moderately correlated with ground measurements (R2=0.17-0.38) at their most informative scales.CONCLUSIONThese findings highlight the complex operational challenges that affect coastal mosquito control in heterogeneous environments. The problem is exacerbated by continued mangrove transgression into saltmarsh habitat in the region. Emerging UAS technology can help operators optimize treatments by accurately identifying and mapping challenging canopy cover using both standard and multispectral imaging.

High throughput phenotyping of tomato spot wilt disease in peanuts using unmanned aerial systems and multispectral imaging

2017 ◽  
Vol 20 (3) ◽  
pp. 4-12 ◽  
Author(s):  
Aaron Patrick ◽  
Sara Pelham ◽  
Albert Culbreath ◽  
C. Corely Holbrook ◽  
Ignacio Jose De Godoy ◽  
...  
Keyword(s):  
High Throughput ◽  
Multispectral Imaging ◽  
Wilt Disease ◽  
Unmanned Aerial Systems ◽  
High Throughput Phenotyping ◽  
Aerial Systems

scholarly journals Development of a Miniaturized Mobile Mapping System for In-Row, Under-Canopy Phenotyping

2021 ◽  
Vol 13 (2) ◽  
pp. 276
Author(s):  
Raja Manish ◽  
Yi-Chun Lin ◽  
Radhika Ravi ◽  
Seyyed Meghdad Hasheminasab ◽  
Tian Zhou ◽  
...  
Keyword(s):  
Plant Traits ◽  
Plant Phenotyping ◽  
Unmanned Aerial Systems ◽  
Mobile Mapping ◽  
Ground Vehicle ◽  
Plant Trait ◽  
Mapping System ◽  
Mobile Mapping System ◽  
Using Data ◽  
Aerial Systems

This paper focuses on the development of a miniaturized mobile mapping platform with advantages over current agricultural phenotyping systems in terms of acquiring data that facilitate under-canopy plant trait extraction. The system is based on an unmanned ground vehicle (UGV) for in-row, under-canopy data acquisition to deliver accurately georeferenced 2D and 3D products. The paper addresses three main aspects pertaining to the UGV development: (a) architecture of the UGV mobile mapping system (MMS), (b) quality assessment of acquired data in terms of georeferencing information as well as derived 3D point cloud, and (c) ability to derive phenotypic plant traits using data acquired by the UGV MMS. The experimental results from this study demonstrate the ability of the UGV MMS to acquire dense and accurate data over agricultural fields that would facilitate highly accurate plant phenotyping (better than above-canopy platforms such as unmanned aerial systems and high-clearance tractors). Plant centers and plant count with an accuracy in the 90% range have been achieved.

LIGHTER-THAN-AIR (LTA) UNMANNED AERIAL SYSTEM (UAS) CARRIER CONCEPT FOR SURVAILLANCE AND DISASTER MANAGEMENT

2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Border Control ◽  
Aerial Vehicles ◽  
Operational Safety ◽  
In Situ Methods ◽  
Aerial Systems

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.

Beach and dune impacts due to Hurricane Florence in Dare County, North Carolina

Shore & Beach ◽  
2019 ◽  
pp. 44-49 ◽  
Author(s):  
Elizabeth Sciaudone ◽  
Liliana Velasquez-Montoya
Keyword(s):  
North Carolina ◽  
Prior Knowledge ◽  
Unmanned Aerial Systems ◽  
State University ◽  
National Wildlife Refuge ◽  
Sediment Samples ◽  
Wildlife Refuge ◽  
Full Report ◽  
Aerial Systems

Less than two weeks after Hurricane Florence made landfall in North Carolina (NC), a team of researchers from NC State University traveled to Dare County to investigate the storm’s effects on beaches and dunes. Using available post-storm imagery and prior knowledge of vulnerabilities in the system, the team identified several locations to visit in the towns of Kitty Hawk, Nags Head, Rodanthe, Buxton, and Hatteras, as well as a number of locations within the Pea Island National Wildlife Refuge (Figure 1). Data collected included topographic profiles, still imagery and video from unmanned aerial systems, sediment samples, and geo-located photography. This Coastal Observations piece presents some of the data and photos collected; the full report is available online (Sciaudone et al. 2019), and data collected will be made available to interested researchers upon request.

A Comparative Economic Study on the Use of Unmanned Aerial Systems versus Motorcycles to Transport Laboratory Samples in Liberia

2019 ◽  
Author(s):  
Walter Ochieng ◽  
Tun Ye ◽  
Christina M. Scheel ◽  
Aun Lor ◽  
John M. Saindon ◽  
...  
Keyword(s):  
Unmanned Aerial Systems ◽  
Economic Study ◽  
Aerial Systems
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