Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que
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Blockchain-Empowered H-CPS Architecture for Smart Agriculture (Adv. Sci. 27/2025)
Smart Agriculture
This cover image depicts a smart agriculture scenario empowered by artificial intelligence and blockchain technology. The background showcases digitized agricultural field information flows, which are transmitted via blockchain technology and visualized through a virtual reality display. Intelligent robots conduct in-depth analysis and processing of these data streams. In article number 2503102, Ming Luo, Youxiong Que, and co-workers propose a H-CPS framework that uses blockchain and AI to analyze agricultural data, solving irrigation optimization, crop breeding efficiency, and supply chain transparency issues, enhancing sustainability and global food security.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.