Cyber-agricultural systems for crop breeding and sustainable production.

Journal: Trends in plant science
Published Date: Aug 28, 2023

Abstract

The cyber-agricultural system (CAS) represents an overarching framework of agriculture that leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and scalable cyberinfrastructure (CI) in both breeding and production agriculture. We discuss the recent progress and perspective of the three fundamental components of CAS - sensing, modeling, and actuation - and the emerging concept of agricultural digital twins (DTs). We also discuss how scalable CI is becoming a key enabler of smart agriculture. In this review we shed light on the significance of CAS in revolutionizing crop breeding and production by enhancing efficiency, productivity, sustainability, and resilience to changing climate. Finally, we identify underexplored and promising future directions for CAS research and development.

Authors

  • Soumik Sarkar
    Department of Mechanical Engineering, Iowa State University, Ames, IA, USA.
  • Baskar Ganapathysubramanian
    Department of Mechanical Engineering and Translational AI Research and Education Center, Iowa State University, Ames, Iowa 50011, United States.
  • Arti Singh
    Department of Agronomy, Iowa State University, Ames, IA, USA. Electronic address: arti@iastate.edu.
  • Fateme Fotouhi
    Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA.
  • Soumyashree Kar
    University of Southern Mississippi, Hattiesburg, MS, USA.
  • Koushik Nagasubramanian
    Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA.
  • Girish Chowdhary
    Department of Agricultural and Biological Engineering and Department of Computer Science, University of Illinois at Urbana Champaign, Champaign, Urbana, IL, USA.
  • Sajal K Das
    Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA.
  • George Kantor
    Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Adarsh Krishnamurthy
    Iowa State University, Department of Mechanical Engineering, Ames, Iowa, 50011, USA. adarsh@iastate.edu.
  • Nirav Merchant
    Data Science Institute, University of Arizona, 1230 North Cherry Avenue, Tucson, AZ 85721, USA.
  • Asheesh K Singh
    Department of Agronomy, Iowa State University, Ames, IA, USA.

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