Login
Toggle navigation
Home
ICPA
Conference
Abstract Management
Abstract Topic Groups
Author Instructions
Registration
Registration Information
16th ICPA - Conference Registration
Registrants Map
Hotel and Travel Information
Tour
Workshops
Exhibit Hall Map
Sponsors
Conference Program
General Outline
Oral Program
Poster Program
Student Poster Awards
Keynote
Plenary Session
Awards
Photos
Conference Survey
Proceedings
Leadership
ISPA Leadership
Officers
Past Presidents
Officer Responsibilities
Country Representatives
Communities
Community Guidance
On-Farm Experimentation
Nitrogen
Latin America
Economics
African Association for Precision Agriculture
Membership
ISPA Member Benefits
Membership Form
Events
ISPA Events
ACPA
ACPA Proceedings
AfCPA
AfCPA Proceedings
CLAP
CLAP Proceedings
ECPA
ECPA Proceedings
ICPA
ISPA Webinars
OFE
AAPA
Latin American
Robotics and Automation Symposium
Event Overview
Registration
Program
Venue
Speakers
About ISPA
Newsletters
History
Jobs
Precision Ag Definition
Agriculture Course Database Submission
Publications
ICPA Proceedings
ECPA Proceedings
Contact Us
Members
Suggestion Form
Conference
Abstract Management
Abstract Topic Groups
Author Instructions
Registration
Registration Information
16th ICPA - Conference Registration
Registrants Map
Hotel and Travel Information
Tour
Workshops
Exhibit Hall Map
Sponsors
Conference Program
General Outline
Oral Program
Poster Program
Student Poster Awards
Keynote
Plenary Session
Awards
Photos
Conference Survey
Proceedings
Proceedings
Search
Authors
Topics
Years
Types
Find matching any:
Reset
» Add more years
Add filter to result:
Applications Of Small UAV Systems For Tree And Nursery Inventory Management
1
Y. She,
1
R. Ehsani,
1
J. Robbins,
3
J. Owen,
1
J. N. Leiva
1. University of Florida
2. University of Arkansas
3. Virginia Tech
Unmanned aerial vehicles (UAV) systems could provide low-cost and high spatial resolution aerial images. These features and ease of operation make it a practical tool for applications in precision agriculture and horticulture. This paper highlights the application of UAV systems in tree counting, which is vital for tree inventory management and yield estimation. In this paper, two types of trees were discussed. One type is with non-uniform canopy area (e.g. container plants and citrus trees) and another is with uniform canopy area (e.g. Christmas). For the first type, aerial images obtained from 100 container-grown green and yellow plants were acquired with a stable, ground-based boom truck as a pretest. Two different index sets, (2*G-R-B) and (V-H)/(V+H) were used to extract the green and yellow container plants from background, respectively. A counting algorithm based on average canopy area was developed to estimate the plant count. The effect of capturing heights and adjacent plant distance on the accuracy of the algorithm were discussed. Further, we had success on applying the algorithm on stitched images from the video files. The developed algorithm was able to count the trees with 2% accuracy. This also indicates that the algorithm could work well on low-resolution images. For the second type, we developed a counting algorithm based on a local maximum value at or near the center of coniferous tree. A 3-D intensity distribution of the images showed that local maximum of intensity of (r-g) matched well with the tree centers. Also, Minimum distance filter (MDF) and threshold generated from histogram were used to remove the false identified tree locations.
Keyword
: UAV; Remote sensing;Image processing
Y. She
R. Ehsani
J. Robbins
J. Owen
J. N. Leiva
Precision Horticulture
Oral
2014
Download paper