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.
Funder
U.S. Department of Agriculture
Subject
Artificial Intelligence,Control and Optimization,Mechanical Engineering
Cited by
30 articles.
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