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 :
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