DocumentCode
3669088
Title
Devices, systems, and methods for automated monitoring enabling precision agriculture
Author
Jnaneshwar Das;Gareth Cross;Chao Qu;Anurag Makineni;Pratap Tokekar;Yash Mulgaonkar;Vijay Kumar
Author_Institution
GRASP Laboratory, University of Pennsylvania
fYear
2015
fDate
8/1/2015 12:00:00 AM
Firstpage
462
Lastpage
469
Abstract
Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products - plant morphology, canopy volume, leaf area index, and fruit counts - using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.
Keywords
"Robot sensing systems","Cameras","Vegetation","Three-dimensional displays","Image reconstruction","Monitoring","Agriculture"
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
ISSN
2161-8070
Electronic_ISBN
2161-8089
Type
conf
DOI
10.1109/CoASE.2015.7294123
Filename
7294123
Link To Document