Cyber-agricultural systems for crop breeding and sustainable production

被引:12
|
作者
Sarkar, Soumik [1 ,2 ]
Ganapathysubramanian, Baskar [1 ,2 ]
Singh, Arti [4 ]
Fotouhi, Fateme [1 ,2 ]
Kar, Soumyashree [5 ]
Nagasubramanian, Koushik [3 ]
Chowdhary, Girish [6 ,7 ]
Das, Sajal K. [8 ]
Kantor, George [9 ]
Krishnamurthy, Adarsh [1 ]
Merchant, Nirav [10 ]
Singh, Asheesh K. [4 ]
机构
[1] Iowa State Univ, Dept Mech Engn, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
[3] Iowa State Univ, Dept Elect Engn, Ames, IA USA
[4] Iowa State Univ, Dept Agron, Ames, IA 50011 USA
[5] Univ Southern Mississippi, Hattiesburg, MS USA
[6] Univ Illinois, Dept Agr & Biol Engn, Urbana, IL USA
[7] Univ Illinois, Dept Comp Sci, Urbana, IL USA
[8] Missouri Univ Sci & Technol, Dept Comp Sci, Rolla, MO USA
[9] Carnegie Mellon Univ, Robot Inst, Pittsburgh, PA USA
[10] Univ Arizona, Data Sci Inst, Tucson, AZ USA
基金
美国国家科学基金会; 美国食品与农业研究所;
关键词
DIGITAL TWIN; DATA FUSION; ENERGY-EFFICIENT; PHYSICAL SYSTEMS; ROBOT NAVIGATION; INDUSTRY; 4.0; LARGE-SCALE; ROOT; ARCHITECTURE; FOG;
D O I
10.1016/j.tplants.2023.08.001
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页码:130 / 149
页数:20
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