DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses

Xiujuan Wang; Mengzhen Kang; Hequan Sun; Philippe de Reffye; Fei-Yue Wang

doi:10.1109/JAS.2022.106103

Volume 9 Issue 12

Dec. 2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2022 > 9(12): 2055-2062

X. Wang, M. Kang, H. Sun, P. de Reffye, and F.-Y. Wang, "DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses, " IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp.2055-2062, Dec. 2022. doi: 10.1109/JAS.2022.106103

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X. Wang, M. Kang, H. Sun, P. de Reffye, and F.-Y. Wang, "DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses, " IEEE/CAA J. Autom. Sinica, vol. 9, no. 12, pp.2055-2062, Dec. 2022. doi: 10.1109/JAS.2022.106103

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DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses

doi: 10.1109/JAS.2022.106103

1.
The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, and also with the Beijing Engineering Research Center of Intelligent Systems and Technology, Beijing 100190, China
2.
The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
3.
Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, Cologne D-50829, and also with Faculty of Biology, LMU Munich, Großhaderner Str. 2, Planegg-Martinsried D-82152, Germany
4.
AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier F-34398, France
5.
The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, and also with the Macao Institute of Systems Engineering, Macau University of Science and Technology, Macao 999078, China

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Author Bio:
Xiujuan Wang received her Ph.D. degree in applied mathematics from Ecole Central Paris, France, and in soil resource use from China Agricultural University, Beijing, China, in 2011. She is currently an Associate Professor with the State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing. Her current research interests include plant growth modeling and parallel agriculture.e-mail: xiujuan.wang@ia.ac.cn

Mengzhen Kang(M'16) received her Ph.D. degree in pattern recognition and intelligent systems from the Institution of Automation, Chinese Academy of Sciences, Beijing, China, in 2003. She is an Associate Professor with the State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences. Her current research interests include parallel agriculture and computational plants.e-mail: mengzhen.kang@ia.ac.cn

Hequan Sun received his Ph.D. degree in computer engineering from Nanyang Technological University (Singapore) in 2014. Currently, he is working as a bioinformatician at the Max Planck Institute for Plant Breeding Research (Cologne, Germany) and Ludwig Maximilian University of Munich (Germany). His research focuses on crop genomics and, more specifically, developing computational methods for deciphering crop biology in the context of next/third generation sequencing and genetics.e-mail: sun@mpipz.mpg.de

Philippe de Reffye received his Ph.D. degree in agricultural engineering from Université Paris-Sud/Orsay - Paris/France, in 1979. He was a Senior Professor with the Plant Modeling Unit: AMAP Montpellier, CIRAD, France. He was Head of the GreenLab project in LIAMA, CASIA (1998-2010). He was awarded the outstanding foreign expert by the Chinese government in 2006 and the Outstanding Contribution Award of Chinese and French Scientists by the French government in 2017. His current research interests include plant growth modeling and visualization.e-mail: ph.dereffye@gmail.com

Fei-Yue Wang (S'87–M'89–SM'94–F'03) received his Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 1990. His current research focuses on methods and applications for parallel systems, social computing, and knowledge automation. He received IEEE ITS Outstanding Application and Research Awards in 2009, 2011 and 2015, and the IEEE SMC Norbert Wiener Award in 2014.In 2021, he became the IFAC Pavel J. Nowacki Distinguished Lecturer. He is a fellow of the International Council on Systems Engineering; International Federation of Automatic Control (IFAC); American Society of Mechanical Engineers; and American Association for the Advancement of Science.e-mail: feiyue.wang@ia.ac.cn
Corresponding author: Mengzhen Kang, e-mail: mengzhen.kang@ia.ac.cn; Fei-Yue Wang, e-mail: feiyue.wang@ia.ac.cn

Abstract

Abstract

The demand for food is tremendously increasing with the growth of the world population, which necessitates the development of sustainable agriculture under the impact of various factors, such as climate change. To fulfill this challenge, we are developing Metaverses for agriculture, referred to as AgriVerse, under our Decentralized Complex Adaptive Systems in Agriculture (DeCASA) project, which is a digital world of smart villages created alongside the development of Decentralized Sciences (DeSci) and Decentralized Autonomous Organizations (DAO) for Cyber-Physical-Social Systems (CPSSs). Additionally, we provide the architectures, operating modes and major applications of DeCASA in AgriVerse. For achieving sustainable agriculture, a foundation model based on ACP theory and federated intelligence is envisaged. Finally, we discuss the challenges and opportunities.
- Parallel Agriculture Management and Control,
- AgriVerse,
- Agriculture CPSS,
- ACP,
- DAO-Based Platform,
- Precision Agriculture

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References(49)

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DeCASA in AgriVerse: Parallel Agriculture for Smart Villages in Metaverses

doi: 10.1109/JAS.2022.106103

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