Your browser doesn't support javascript.
loading
Cyber-agricultural systems for crop breeding and sustainable production.
Sarkar, Soumik; Ganapathysubramanian, Baskar; Singh, Arti; Fotouhi, Fateme; Kar, Soumyashree; Nagasubramanian, Koushik; Chowdhary, Girish; Das, Sajal K; Kantor, George; Krishnamurthy, Adarsh; Merchant, Nirav; Singh, Asheesh K.
Afiliação
  • Sarkar S; Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA. Electronic address: soumiks@iastate.edu.
  • Ganapathysubramanian B; Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA.
  • Singh A; Department of Agronomy, Iowa State University, Ames, IA, USA.
  • Fotouhi F; Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA.
  • Kar S; University of Southern Mississippi, Hattiesburg, MS, USA.
  • Nagasubramanian K; Department of Electrical Engineering, Iowa State University, Ames, IA, USA.
  • Chowdhary G; Department of Agricultural and Biological Engineering and Department of Computer Science, University of Illinois at Urbana Champaign, Champaign, Urbana, IL, USA.
  • Das SK; Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA.
  • Kantor G; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Krishnamurthy A; Department of Mechanical Engineering, Iowa State University, Ames, IA, USA.
  • Merchant N; Data Science Institute, University of Arizona, Tucson, AZ, USA.
  • Singh AK; Department of Agronomy, Iowa State University, Ames, IA, USA. Electronic address: singhak@iastate.edu.
Trends Plant Sci ; 29(2): 130-149, 2024 02.
Article em En | MEDLINE | ID: mdl-37648631
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Agricultura Idioma: En Revista: Trends Plant Sci Assunto da revista: BOTANICA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Agricultura Idioma: En Revista: Trends Plant Sci Assunto da revista: BOTANICA Ano de publicação: 2024 Tipo de documento: Article