AI Article Synopsis
- - The cyber-agricultural system (CAS) integrates advanced technologies like sensing, AI, and smart devices to improve agricultural practices, focusing on both crop breeding and production.
- - It includes key components such as sensing, modeling, and actuation, with a new addition known as agricultural digital twins (DTs) to better predict and manage farming outcomes.
- - CAS aims to transform agriculture by increasing efficiency, productivity, sustainability, and adaptability to climate changes, while also highlighting future research opportunities in this field.
Article 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.
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| http://dx.doi.org/10.1016/j.tplants.2023.08.001 | DOI Listing |
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