A Novel Multirobot System for Plant Phenotyping†
Department of Computer Science, Iowa State University, Ames, IA 50011, USA
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA
Department of Agronomy, Iowa State University, Ames, IA 50011, USA
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.
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Received: 30 July 2018 / Revised: 7 September 2018 / Accepted: 12 September 2018 / Published: 26 September 2018
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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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.
Gao T, Emadi H, Saha H, Zhang J, Lofquist A, Singh A, Ganapathysubramanian B, Sarkar S, Singh AK, Bhattacharya S. A Novel Multirobot System for Plant Phenotyping. Robotics. 2018; 7(4):61.
Gao, Tianshuang; Emadi, Hamid; Saha, Homagni; Zhang, Jiaoping; Lofquist, Alec; Singh, Arti; Ganapathysubramanian, Baskar; Sarkar, Soumik; Singh, Asheesh K.; Bhattacharya, Sourabh. 2018. "A Novel Multirobot System for Plant Phenotyping." Robotics 7, no. 4: 61.
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