Using Robotics and Digital Twins to Advance Phenomics

Changying Li, Daeun Choi

Research output: Contribution to specialist publicationArticle

Abstract

Based on our research in agricultural automation, we believe that AI will have a significant positive impact on a variety of areas in agriculture, including plant and animal breeding, precision crop and livestock management, pest and disease surveillance, and food quality and safety monitoring. In particular, we highlight two promising AIenabled technologies to advance plant phenomics.

Original languageEnglish (US)
Pages7
Number of pages1
Volume31
No4
Specialist publicationResource: Engineering and Technology for Sustainable World
StatePublished - Jul 1 2024

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • General Agricultural and Biological Sciences
  • General Engineering

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