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Robotics 2018, 7(4), 61; https://doi.org/10.3390/robotics7040061

A Novel Multirobot System for Plant Phenotyping

1
Department of Computer Science, Iowa State University, Ames, IA 50011, USA
2
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
3
Department of Agronomy, Iowa State University, Ames, IA 50011, USA
4
Department of Electrical and Computer Engineering, Iowa State, Ames, IA 50011, USA
This paper is an extended version of our paper published in Saha, H.; Gao, T.; Emadi, H.; Jiang, Z.; Singh, A.; Ganapathysubramanian, B.; Sarkar, S.; Singh, A.; Bhattacharya, S. Autonomous Mobile Sensing Platform for Spatio-Temporal Plant Phenotyping. In Proceedings of the ASME 2017 Dynamic Systems and Control Conference, Tysons, VA, USA, 11–13 October 2017.
*
Author to whom correspondence should be addressed.
Received: 30 July 2018 / Revised: 7 September 2018 / Accepted: 12 September 2018 / Published: 26 September 2018
(This article belongs to the Special Issue Agricultural and Field Robotics)
Full-Text   |   PDF [9909 KB, uploaded 26 September 2018]   |  

Abstract

Phenotypic studies require large datasets for accurate inference and prediction. Collecting plant data in a farm can be very labor intensive and costly. This paper presents the design, architecture (hardware and software) and deployment of a multi-robot system for row crop field data collection. The proposed system has been deployed in a soybean research farm at Iowa State University. View Full-Text
Keywords: field robotics; multi-robot system; crop monitoring; agricultural robotics; modular robots; optimal path planning field robotics; multi-robot system; crop monitoring; agricultural robotics; modular robots; optimal path planning
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Gao, T.; Emadi, H.; Saha, H.; Zhang, J.; Lofquist, A.; Singh, A.; Ganapathysubramanian, B.; Sarkar, S.; Singh, A.K.; Bhattacharya, S. A Novel Multirobot System for Plant Phenotyping. Robotics 2018, 7, 61.

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