TY - GEN
T1 - An aerial phytobiopsy system
T2 - 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
AU - Orol, Daniel
AU - Das, Jnaneshwar
AU - Vacek, Lukas
AU - Orr, Isabella
AU - Paret, Mathews
AU - Taylor, Camillo J.
AU - Kumar, Vijay
N1 - Funding Information:
We gratefully acknowledge NSF grant CNS-1521617 and USDA grant 2015-67021-23857 under the National Robotics Initiative for supporting this work.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - Early plant disease detection and treatment could dramatically increase crop yield. However, even experts cannot visually distinguish various diseases with certainty, limiting image based diagnosis. In this paper, we present a novel small unmanned aircraft system (sUAS) for phytobiopsy. This platform can remove a leaf section with visual symptoms and transport it to a lab for precise disease analysis. We present the design of a gripper and an arm mechanism, and we discuss best practices for using the system. Results are presented from extensive experimental evaluation of the gripper assembly and 21 indoor manual flight trials, demonstrating efficacy. Our sUAS utilizes its inherent mobility and range to solve a pressing agricultural problem, improving food production and disease detection capabilities. A short video of our system can be found at https://goo.gl/xomYUO.
AB - Early plant disease detection and treatment could dramatically increase crop yield. However, even experts cannot visually distinguish various diseases with certainty, limiting image based diagnosis. In this paper, we present a novel small unmanned aircraft system (sUAS) for phytobiopsy. This platform can remove a leaf section with visual symptoms and transport it to a lab for precise disease analysis. We present the design of a gripper and an arm mechanism, and we discuss best practices for using the system. Results are presented from extensive experimental evaluation of the gripper assembly and 21 indoor manual flight trials, demonstrating efficacy. Our sUAS utilizes its inherent mobility and range to solve a pressing agricultural problem, improving food production and disease detection capabilities. A short video of our system can be found at https://goo.gl/xomYUO.
UR - http://www.scopus.com/inward/record.url?scp=85034064186&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034064186&partnerID=8YFLogxK
U2 - 10.1109/ICUAS.2017.7991431
DO - 10.1109/ICUAS.2017.7991431
M3 - Conference contribution
AN - SCOPUS:85034064186
T3 - 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
SP - 188
EP - 195
BT - 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 June 2017 through 16 June 2017
ER -