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Publication Date

  • 2017
  • 2018
TerraSentia Diagram

Under canopy light detection and ranging‐based autonomous navigation

Figure from paper

Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum

Figure from paper

Learning-based fast nonlinear model predictive control for custom-made 3D printed ground and aerial robots

Figure from paper

Crop stem width estimation in highly cluttered field environment

Figure from paper

Tracking error learning control for precise mobile robot path tracking in outdoor environment

TerraSentia

In situ height and width estimation of sorghum plants from 2.5d infrared images

TerraSentia

High precision control of tracked field robots in the presence of unknown traction coefficients

in field

Embedded high precision control and corn stand counting algorithms for an ultra-compact 3D-printed field robot

Figure from paper

Sun-Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements

robot

Top down approach to height histogram estimation of biomass sorghum in the field

  • Illinois
  • Cornell
  • Signetron
  • USDA-ARS

The TERRA-MEPP project was funded by ARPA-E (Advanced Research Projects Agency-Energy) within the U.S. Department of Energy.

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