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Cyber-Agricultural Systems for Crop Breeding and Sustainable Production
Trends in Plant Science
  • Soumik Sarkar
  • Baskar Ganapathysubramanian
  • Arti Singh
  • Fateme Fotouhi
  • Soumyashree Kar
  • Koushik Nagasubramanian
  • Girish Chowdhary
  • Sajal K. Das, Missouri University of Science and Technology
  • George Kantor
  • Adarsh Krishnamurthy
  • Nirav Merchant
  • Asheesh K. Singh
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.

Department(s)
Computer Science
Publication Status
Open Access
Comments

National Science Foundation, Grant S&CC 1952045

Keywords and Phrases
  • cyber-agricultural systems,
  • cyberinfrastructure,
  • digital twins,
  • precision agriculture,
  • smart farming,
  • ubiquitous sensing
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Cell Press, All rights reserved.
Publication Date
1-1-2023
Publication Date
01 Jan 2023
Disciplines
Citation Information
Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, et al.. "Cyber-Agricultural Systems for Crop Breeding and Sustainable Production" Trends in Plant Science (2023) ISSN: 1360-1385
Available at: http://works.bepress.com/sajal-das/323/