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Professor: A Motorized Field-Based Phenotyping Cart

Professor field phenotyping cart with image array in a cotton field.

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.

Dataset Info

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FieldValue
Authors
Thompson, Alison L.
(ORCID)
Product Type
Dataset
Intended Use
Motorized proximal sensing carts are a low-cost platform to deploy proximal sensors for field-based high-throughput phenotyping. The supplemental files uploaded here provide a complete list of all the parts needed to build "Professor", a motorized proximal sensing cart developed and tested by the Maricopa Arizona field-based high-throughput phenotyping team.
Use Limitations
The data is intended to give users tools and specifications on how to build or modify existing carts in their programs. For detailed instructions on how to assemble "Professor" please refer to publication.
Publisher
Ag Data Commons
Contact Name
Thompson, Alison
Contact Email
Public Access Level
Public
Primary Article

Thompson, A.L., Conrad, A., Conley, M.M., Shrock, H., Taft, B., Mikshch, C., Mills, T., and Dyer, J.M. (2018). Professor: A Motorized Field-Based Phenotyping Cart. HardwareX 4, e00025

License
Reviewer
Dyer, John
Funding Source(s)
Agricultural Research Service
2020-21410-006-00D
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1431007
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
2019-01-25
Release Date
2018-04-02
Ag Data Commons Keywords: 
  • Genomics & Genetics
  • Phenotypes
  • Plants & Crops
  • Traits
  • Maps & Multimedia
  • Plants & Crops
ISO Topic(s):