UAS Based Technology Applications in Pecan Orchards

What is a UAS?
- Unmanned Aircraft
- Ground Control Station
- Command & Control Link(s)
A UAS is a system:
- Also known as:
- –Unmanned Aerial Vehicle (UAV)
- –Remotely Piloted Aircraft
- System (RPAS)
- –RC Model Aircraft
- –Drone

The Small UAS Rule Part 107 Basics
- UAS operators must obtain a Remote Pilot Certificate
- Visual line-of-sight, daylight operations
- 400 feet or below in uncontrolled (Class G) airspace; other airspace use requires authorization
- UAS must weigh less than 55 lbs. and be registered
- Register your drone
Applications of UAV’s in Agriculture
Precision Drone Application Expands In the U.S.
What are the advantages and disadvantages of UAV remote sensing in agriculture
How does UAV remote sensing work?
Sandino et al., 2018 https://doi.org/10.3390/s18040944
San Simon Pecan Orchards
San Simon Pecan Orchard Phymatotrichopsis Root Rot in Pecan
Pecan orchards around San Simon - work with Josh Sherman
Calibration of multispectral drone data (Micasense)
- Micasense multispectral sensor
- Calibration panel
- Flightplanning
Spectral response of plants to solar electromagnetic energy
Micasense –Rededge multispectral spectral characteristics
MicaSense REDEDGE
How does UAV remote sensing work?
- Remote sensing technology
- Sensors (spectral, spatial resolution)
- Visible imagery
- Multispectral imagery
- 2-D and 3-D visible imagery
- orthomosaic & SfM
- Thermal imagery
- Lidar Imagery
- Hyperspectral imagery
Multispectral and RGB UAV based observations and products to inform agriculture
- Root rot is a soil fungus that causes rapid wilt and death of pecan trees
- Root rot costs millions of $$
- Remote sensed monitoring and inventory of pecan trees to examine impact of fungicide treatments
- Remotely sensed data
- Autonomous Flight Planning
- 2-D and 3D data processing of many images
- RGB, reflectance data and product generation
Background and Introduction
Methodology
Autonomous flight path (RGB)
Unmanned Aerial Vehicles (UAV’s) (The future…?)
Creating Imagery from UAV’s
- UAVs are programmed to fly a course at a set elevation.
- At a predetermined time interval, photographs are taken.
- These photos overlap to create a seamless image compiled of a collage of pictures and or a 3D scene.
RGB mosaic 6-20-19. 0.018m spatial resolution.
Flightplanning software (Altizure and ATLAS)
Data processing software - Pix4D or Agisoft metashape
Pecan data acquisition & Mission planning
- Area of Interest:
- Pecan field (32° 13’ 41.92”N, 109° 09’ 27.67” W)
Study area is ~800 m tall and 800 m wide ~ 64 ha total
- Phantom 4 professional multi-rotor (Registration Number A3PX97933 or FA343NTRWC)
- Stock RGB imagery and Rededge-M multispectral camera
- IOS Altizure and Atlas mission planner
- Agisoft Photoscan and Pix4D
Equipment:
- True Color Orthomosaic (~ 3.2 cm ground sampling distance @ 120 m agl)
- Multispectral 5 band reflectance Orthomosaic (~8.2 cm ground sampling distance; 129m agl)
Imagery Deliverable:
- Using direct georeferencing methods with ground control
- Expected horizontal accuracy within 1 m
- Expected scaling accuracy within 1 m
Imagery Product Accuracy:
Evaluate plant health using NDVI NDVI=(NIR-VIS)/(NIR+VIS).
Evaluate plant health using EVI EVI=2.5*((NIR-Red)/(NIR+6*Red -7.5*Blue+1))
MicaSense – Digital Surface Model