Robotics
(Sep 2018)
A Novel Multirobot System for Plant Phenotyping
Tianshuang Gao,
Hamid Emadi,
Homagni Saha,
Jiaoping Zhang,
Alec Lofquist,
Arti Singh,
Baskar Ganapathysubramanian,
Soumik Sarkar,
Asheesh K. Singh,
Sourabh Bhattacharya
Affiliations
Tianshuang Gao
Department of Computer Science, Iowa State University, Ames, IA 50011, USA
Hamid Emadi
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
Homagni Saha
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
Jiaoping Zhang
Department of Agronomy, Iowa State University, Ames, IA 50011, USA
Alec Lofquist
Department of Electrical and Computer Engineering, Iowa State, Ames, IA 50011, USA
Arti Singh
Department of Agronomy, Iowa State University, Ames, IA 50011, USA
Baskar Ganapathysubramanian
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
Soumik Sarkar
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
Asheesh K. Singh
Department of Agronomy, Iowa State University, Ames, IA 50011, USA
Sourabh Bhattacharya
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
DOI
https://doi.org/10.3390/robotics7040061
Journal volume & issue
Vol. 7,
no. 4
Abstract
Read online
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.
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