Professor: A Motorized Field-Based Phenotyping Cart

<p>An easy-to-customize, low-cost, low disturbance, motorized, and adjustable proximal sensing cart for field-based high-throughput phenotyping is described. General dimensions, motor specifications, and a remote operation application are given. The cart, named "Professor", supports mounting multiple proximal sensors and cameras for characterizing plant traits grown under field conditions. Professor easily adapts to multiple sensor configurations supporting detection of multiple target traits and has two axes of adjustable clearance by design. Professor is useful as a field-based phenotyping platform and offers a framework for customized development and application.  </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: S. File 1.</p> <p>File Name: S. File 1.xlsx</p><p>Resource Description: Components needed for the assembly of Professor. Hyperlinks to websites for purchase also provided.</p></li><br><li><p>Resource Title: S. File 2.</p> <p>File Name: S. File 2.PDF</p><p>Resource Description: Specifications for Swivel wheel assembly. File provides two views of the swivel wheel mount including dimensions and part order assembly.</p></li><br><li><p>Resource Title: S. File 3.</p> <p>File Name: S. File 3.PDF</p><p>Resource Description: Specifications for wheel support arm assembly. File provides two views of the wheel support including dimensions and part order assembly.</p></li><br><li><p>Resource Title: S. File 4.</p> <p>File Name: S. File 4.pdf</p><p>Resource Description: Specifications for Front wheel assembly. File provides two views of the front wheel mount including dimensions and part order assembly.</p></li><br><li><p>Resource Title: S. File 5.</p> <p>File Name: S. File 5.PDF</p><p>Resource Description: Specifications for Motor assembly. File includes two views of the motor mount including dimensions and part order assembly.</p></li><br><li><p>Resource Title: S. File 6.</p> <p>File Name: S. File 6.PDF</p><p>Resource Description: Specifications for Custom sprocket. File contains dimensions only.</p></li><br><li><p>Resource Title: S. File 7.</p> <p>File Name: S. File 7.xlsx</p><p>Resource Description: This file contains the collected GPS and timestamp information used to generate Table 1 in the paper. The file was generated by clipping GPS data to plot polygons in Quantum GIS software to show accuracy of placement and consistency of speed of the motorized cart in the field.
Table 1. The drive time for each 12.1 m plot for three replicates (Pass) as recorded by a Hemishpere GPS receiver and Campbell Scientific data logger. The average time per plot is calculated below. The difference in time for each plot from the average is listed in the Difference column. Time is listed as minute:second.milisecond</p></li><br><li><p>Resource Title: S. Video 1.</p> <p>File Name: S. Video 1.mp4</p><p>Resource Description: A short video showing Professor navigate loose soil with small dirt clods in the field. Note the cart is being operated in a reverse configuration. The camera is mounted on the frame and directed towards the swivel wheels to show displacement.</p></li><br><li><p>Resource Title: S. Video 2.</p> <p>File Name: S. Video 2.mp4</p><p>Resource Description: A short video showing Professor navigate very loose soil up a small incline. Note the cart does slip and bounce when traction is lost. The video camera is mounted to the operator’s hat.</p></li><br><li><p>Resource Title: S. Video 3.</p> <p>File Name: S. Video 3.mp4</p><p>Resource Description: A short video showing Professor navigate bumpy terrain with medium dirt clods. The video camera is mounted to the operator’s hat.</p></li><br><li><p>Resource Title: S. Video 4.</p> <p>File Name: S. Video 4.mp4</p><p>Resource Description: A short video showing Professor navigate rough terrain with large dirt clods. Note the cart does require minor assistance in this video. The video camera is mounted to the operator’s hat.</p></li></ul><p></p>

Tags: ars, data-gov, field-based-high-throughput-phenotyping, np216, np301, platforms, proximal-imagefield-based-high-throughput-phenotyping, proximal-imagery, proximal-sensing
Organization: Department of Agriculture