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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.<\/jats:p>","DOI":"10.3390\/robotics7040061","type":"journal-article","created":{"date-parts":[[2018,9,26]],"date-time":"2018-09-26T10:39:58Z","timestamp":1537958398000},"page":"61","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["A Novel Multirobot System for Plant Phenotyping"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7330-3510","authenticated-orcid":false,"given":"Tianshuang","family":"Gao","sequence":"first","affiliation":[{"name":"Department of Computer Science, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hamid","family":"Emadi","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9688-2268","authenticated-orcid":false,"given":"Homagni","family":"Saha","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaoping","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Agronomy, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alec","family":"Lofquist","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Iowa State, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arti","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Agronomy, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baskar","family":"Ganapathysubramanian","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soumik","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asheesh K.","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Agronomy, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1306-2775","authenticated-orcid":false,"given":"Sourabh","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1534\/genetics.116.198713","article-title":"Genetic Architecture of Phenomic-Enabled Canopy Coverage in Glycine max","volume":"206","author":"Xavier","year":"2017","journal-title":"Genetics"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1186\/s13007-017-0173-7","article-title":"A real-time phenotyping framework using machine learning for plant stress severity rating in soybean","volume":"13","author":"Naik","year":"2017","journal-title":"Plant Methods"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.compag.2016.08.021","article-title":"A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding","volume":"128","author":"Bai","year":"2016","journal-title":"Comput. 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Precision Agriculture \u201909, Wageningen Academic Publishers.","DOI":"10.3920\/9789086866649_101"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1007\/s11119-016-9476-3","article-title":"Fleets of robots for environmentally-safe pest control in agriculture","volume":"18","author":"Ribeiro","year":"2017","journal-title":"Precis. Agric."},{"key":"ref_8","unstructured":"Bawden, O., Ball, D., Kulk, J., Perez, T., and Russell, R. (2014, January 2\u20134). A lightweight, modular robotic vehicle for the sustainable intensification of agriculture. Proceedings of the Australian Conference on Robotics and Automation (ACRA 2014), Melbourne, Australia."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Grimstad, L., and From, P.J. (2017). The Thorvald II agricultural robotic system. Robotics, 6.","DOI":"10.3390\/robotics6040024"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Fernandez, M.G.S., Bao, Y., Tang, L., and Schnable, P.S. (2017). A high-throughput, field-based phenotyping technology for tall biomass crops. Plant Phys.","DOI":"10.1104\/pp.17.00707"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4173\/mic.2017.1.1","article-title":"Unscented Multi-Point Smoother for Fusion of Delayed Displacement Measurements: Application to Agricultural Robots","volume":"38","author":"Arbo","year":"2017","journal-title":"Model. Identif. Control"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1111\/j.1475-2743.2009.00236.x","article-title":"Soil compaction and soil management\u2014A review","volume":"25","author":"Batey","year":"2009","journal-title":"Soil Use Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/s13593-011-0071-8","article-title":"Soil compaction impact and modelling. A review","volume":"33","author":"Nawaz","year":"2013","journal-title":"Agron. Sustain. 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Gaussian Processes for Machine Learning, MIT Press.","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref_18","first-page":"3011","article-title":"Gaussian processes for machine learning","volume":"11","author":"Rasmussen","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Ma, K.C., Liu, L., and Sukhatme, G.S. (June, January 29). Informative planning and online learning with sparse gaussian processes. Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore.","DOI":"10.1109\/ICRA.2017.7989494"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1002\/nav.3800020109","article-title":"The Hungarian method for the assignment problem","volume":"2","author":"Kuhn","year":"1955","journal-title":"Nav. Res. Logist. 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