TY - JOUR
T1 - Cyber-agricultural systems for crop breeding and sustainable production
AU - Sarkar, Soumik
AU - Ganapathysubramanian, Baskar
AU - Singh, Arti
AU - Fotouhi, Fateme
AU - Kar, Soumyashree
AU - Nagasubramanian, Koushik
AU - Chowdhary, Girish
AU - Das, Sajal K.
AU - Kantor, George
AU - Krishnamurthy, Adarsh
AU - Merchant, Nirav
AU - Singh, Asheesh K.
N1 - This work was supported by the AI Institute for Resilient Agriculture [US Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) 2021-67021-35329], COALESCE: Context Aware Learning for Sustainable Cyber-Agricultural Systems [National Science Foundation (NSF) CPS Frontier 1954556], FACT: A Scalable Cyber Ecosystem for Acquisition, Curation, and Analysis of Multispectral UAV Image Data (USDA-NIFA 2019-67021-29938), Smart Integrated Farm Network for Rural Agricultural Communities (SIRAC) (NSF S&CC 1952045), and USDA Current Research Information System (CRIS) project IOW04714. Support was also provided by the R.F. Baker Center for Plant Breeding, Iowa Soybean Association, and the Plant Sciences Institute. We thank past and current Soynomics team members for their collaborations. The authors declare no conflicts of interest.
This work was supported by the AI Institute for Resilient Agriculture [US Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) 2021-67021-35329 ], COALESCE: Context Aware Learning for Sustainable Cyber-Agricultural Systems [National Science Foundation (NSF) CPS Frontier 1954556 ], FACT: A Scalable Cyber Ecosystem for Acquisition, Curation, and Analysis of Multispectral UAV Image Data ( USDA-NIFA 2019-67021-29938 ), Smart Integrated Farm Network for Rural Agricultural Communities (SIRAC) ( NSF S&CC 1952045 ), and USDA Current Research Information System (CRIS) project IOW04714 . Support was also provided by the R.F. Baker Center for Plant Breeding, Iowa Soybean Association, and the Plant Sciences Institute. We thank past and current Soynomics team members for their collaborations.
PY - 2024/2
Y1 - 2024/2
N2 - 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.
AB - 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.
KW - cyber-agricultural systems
KW - cyberinfrastructure
KW - digital twins
KW - precision agriculture
KW - smart farming
KW - ubiquitous sensing
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U2 - 10.1016/j.tplants.2023.08.001
DO - 10.1016/j.tplants.2023.08.001
M3 - Review article
C2 - 37648631
AN - SCOPUS:85172193001
SN - 1360-1385
VL - 29
SP - 130
EP - 149
JO - Trends in Plant Science
JF - Trends in Plant Science
IS - 2
ER -