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1. 中国科学院自动化研究所多模态人工智能系统全国重点实验室,复杂系统管理与控制国家重点实验室,北京 100190
2. 中国科学院大学人工智能学院,北京 100049
3. 马克斯·普朗克植物育种研究所,德国科隆 D-50829
4. 慕尼黑大学遗传学研究所,德国慕尼黑 D-82152
5. 西安交通大学电信学部自动化科学与工程学院,陕西 西安 710049
6. 中国科学院自动化研究所北京智能技术工程研究中心,北京 100190
Published Online:2023-03,
Published:15 March 2023
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Mengzhen KANG, Hequan SUN, Xiujuan WANG, et al. Systems agriculture: modeling and control based on social and economic attributes of agriculture[J]. Chinese journal of intelligent science and technology, 2023, 5(1): 41-50.
Mengzhen KANG, Hequan SUN, Xiujuan WANG, et al. Systems agriculture: modeling and control based on social and economic attributes of agriculture[J]. Chinese journal of intelligent science and technology, 2023, 5(1): 41-50. DOI: 10.11959/j.issn.2096-6652.202306.
随着第五次工业革命的到来与发展,生物科技、信息技术与人工智能深度融合,为发展信息化、智能化的农业提供了强有力的支持。由于农业具有社会经济属性,面向具有生物物理特性的种植系统及具有经济社会特性的管理系统,构建农业社会物理信息系统已成为共识。在系统生物学启示下,提出系统农业,即基于平行农业框架,结合农村、农民两个维度构建农业系统,以生物、信息、人工智能等技术为支撑,监测和整合多尺度、多维度、多模态信息,依据系统理论展开涵盖农业、农村、农民的系统农业研究,服务未来乡村发展。对系统农业涉及的智能技术及具体案例进行了总结与分析,并对系统农业的未来发展趋势进行了展望。
With the arrival and development of the fifth industrial revolution
biotechnology
information technology and artificial intelligence are deeply integrated.This provides strong support for the informatization and intelligentization of agriculture.Due to the social and economic characteristics of agriculture
it has become a consensus to build an agricultural physical and social information system toward both the planting system with biophysical properties and the management system with socio-economic properties.Inspired by systems biology
systems agriculture was proposed
which combined two other dimensions of villages and farmers information using the parallel agriculture framework to build and study the agricultural system.Supported by biotechnology
information technology and artificial intelligence technology
systems agriculture had involved monitoring and integrating multi-scale
multi-dimensional and multimodal information
and carried out systematic research covering agriculture
villages and farmers using systems theory
in order to serve the development of future villages.The intelligent technology and the specific cases involved in systems agriculture were summarized and analyzed
and the perspectives of systems agriculture were presented.
ALEXANDRATOS N , . How to feed the world in 2050 [C ] // Proceedings of High-Level Expert Forum .[S.l.:s.n. ] , 2009 .
TARDIEU F , CABRERA-BOSQUET L , PRIDMORE T , et al . Plant phenomics,from sensors to knowledge [J ] . Current Biology , 2017 , 27 ( 15 ): R770 - R783 .
赵春江 . 植物表型组学大数据及其研究进展 [J ] . 农业大数据学报 , 2019 , 1 ( 2 ): 5 - 18 .
ZHAO C J . Big data of plant phenomics and its research progress [J ] . Journal of Agricultural Big Data , 2019 , 1 ( 2 ): 5 - 18 .
ZHANG C Z , YANG Z M , TANG D , et al . Genome design of hybrid potato [J ] . Cell , 2021 , 184 ( 15 ): 3873 - 3883 .
YANG W Y , GUO T T , LUO J Y , et al . Target-oriented prioritization:targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding [J ] . Genome Biology , 2022 , 23 ( 1 ): 1 - 19 .
康孟珍 , 王秀娟 , 华净 , 等 . 平行农业:迈向智慧农业的智能技术 [J ] . 智能科学与技术学报 , 2019 , 1 ( 2 ): 107 - 117 .
KANG M Z , WANG X J , HUA J , et al . Parallel agriculture:intelligent technology toward smart agriculture [J ] . Chinese Journal of Intelligent Science and Technology , 2019 , 1 ( 2 ): 107 - 117 .
王飞跃 . 关于复杂系统的建模、分析、控制和管理 [J ] . 复杂系统与复杂性科学 , 2006 , 3 ( 2 ): 26 - 34 .
WANG F Y . On the modeling,analysis,control and management of complex systems [J ] . Complex Systems and Complexity Science , 2006 , 3 ( 2 ): 26 - 34 .
KANG M Z , WANG F Y . From parallel plants to smart plants:intelligent control and management for plant growth [J ] . IEEE/CAA Journal of Automatica Sinica , 2017 , 4 ( 2 ): 161 - 166 .
STRINGER L C , FRASER E D G , HARRIS D , et al . Adaptation and development pathways for different types of farmers [J ] . Environmental Science & Policy , 2020 , 104 : 174 - 189 .
LOWDER S K , SKOET J , RANEY T . The number,size,and distribution of farms,smallholder farms,and family farms worldwide [J ] . World Development , 2016 , 87 : 16 - 29 .
PRETTY J , ATTWOOD S , BAWDEN R , et al . Assessment of the growth in social groups for sustainable agriculture and land management [J ] . Global Sustainability , 2020 ,3.
温铁军 , 梁少雄 , 刘良 . 乡建笔记:新青年与乡村的生命对话 [M ] . 北京 : 东方出版社 , 2020 :396.
WEN T J , LIANG S X , LIU L . Rural construction notes:dialogue of life between the new youth and the village [M ] . Beijing : Oriental Press , 2020 :396.
CUI Z L , ZHANG H Y , CHEN X P , et al . Pursuing sustainable productivity with millions of smallholder farmers [J ] . Nature , 2018 , 555 ( 7696 ): 363 - 366 .
FAN M H , KANG M Z , WANG X J , et al . Parallel crop planning based on price forecast [J ] . International Journal of Intelligent Systems , 2022 , 37 ( 8 ): 4772 - 4793 .
BERTALANFFY L V , WOODGER J H . Modern theories of development:an introduction to theoretical biology [M ] . London : Oxford University Press , 1933 .
LINNÉC V . Systema naturae in quo naturae regna tria,secundum classes,ordines,genera,species,systematice,proponuntur [M ] . Stockholmiae:Apud G . 1740 .
MESAROVIĆM D , . Systems theory and biology—view of a theoretician [C ] // Proceedings of systems theory and biology . Heidelberg:Springer , 1968 : 59 - 87 .
LANDER E S , LINTON L M , BIRREN B , et al . Initial sequencing and analysis of the human genome [J ] . Nature , 2001 , 409 ( 6822 ): 860 - 921 .
BOOGERD F C . Systems biology:philosophical foundations [M ] . Amsterdam : Elsevier , 2007 .
钱学森 , 于景元 , 戴汝为 . 一个科学新领域:开放的复杂巨系统及其方法论 [J ] . 自然杂志 , 1990 , 12 ( 1 ): 3 - 10 , 64 .
QIAN X S , YU J Y , DAI R W . A new field of science—open complex giant system and its methodology [J ] . Nature Magazine , 1990 , 12 ( 1 ): 3 - 10 , 64 .
SURAVAJHALA P , KOGELMAN L J A , KADARMIDEEN H N . Multi-omic data integration and analysis using systems genomics approaches:methods and applications in animal production,health and welfare [J ] . Genetics Selection Evolution , 2016 , 48 ( 1 ): 1 - 14 .
KEATING B A , MCCOWN R L . Advances in farming systems analysis and intervention [J ] . Agricultural Systems , 2001 , 70 ( 2/3 ): 555 - 579 .
KANG M Z , FAN X R , HUA J , et al . Managing traditional solar greenhouse with CPSS:a just-for-fit philosophy [J ] . IEEE Transactions on Cybernetics , 2018 , 48 ( 12 ): 3371 - 3380 .
华净 , 王秀娟 , 王浩宇 , 等 . 基于物联网的日光温室环境监测在线校准 [J ] . 中国农学通报 , 2020 , 36 ( 5 ): 120 - 124 .
HUA J , WANG X J , WANG H Y , et al . Online calibration of environmental monitoring in solar greenhouse based on internet of things [J ] . Chinese Agricultural Science Bulletin , 2020 , 36 ( 5 ): 120 - 124 .
HUA J , WANG X J , WANG H Y , et al . Prediction of crop phenology—a component of parallel agriculture management [C ] // Proceedings of 2017 Chinese Automation Congress . Piscataway:IEEE Press , 2018 : 7704 - 7708 .
FAN X R , KANG M Z , HEUVELINK E , et al . A knowledge-and-data-driven modeling approach for simulating plant growth:a case study on tomato growth [J ] . Ecological Modelling , 2015 , 312 : 363 - 373 .
TAWSEEF SHAIKH A , TABASUM R , FAISAL R L . Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming [J ] . Computers and Electronics in Agriculture , 2022 ,198.
SUBEESH A , MEHTA C R . Automation and digitization of agriculture using artificial intelligence and internet of things [J ] . Artificial Intelligence in Agriculture , 2021 , 5 : 278 - 291 .
韩佳伟 , 朱文颖 , 张博 , 等 . 装备与信息协同促进现代智慧农业发展研究 [J ] . 中国工程科学 , 2022 , 24 ( 1 ): 55 - 63 .
HAN J W , ZHU W Y , ZHANG B , et al . Equipment and information collaboration to promote development of modern smart agriculture [J ] . Strategic Study of CAE , 2022 , 24 ( 1 ): 55 - 63 .
SHAIKH T A , AHMAD MIR W , RASOOL T , et al . Machine learning for smart agriculture and precision farming:towards making the fields talk [J ] . Archives of Computational Methods in Engineering , 2022 , 29 ( 7 ): 4557 - 4597 .
YUAN S W , L X , DU E H . Effects of farmers’ behavioral characteristics on crop choices and responses to water management policies [J ] . Agricultural Water Management , 2021 ,247.
王秀娟 , 康孟珍 , 华净 , 等 . 从群体到个体尺度——基于数据的DSSAT和GreenLab作物模型连接探索 [J ] . 智慧农业(中英文) , 2021 , 3 ( 2 ): 77 - 87 .
WANG X J , KANG M Z , HUA J , et al . From stand to organ level—a trial of connecting DSSAT and GreenLab crop model through data [J ] . Smart Agriculture , 2021 , 3 ( 2 ): 77 - 87 .
VOS J , EVERS J B , BUCK-SORLIN G H , , et al . Functional-structural plant modelling:a new versatile tool in crop science [J ] . Journal of Experimental Botany , 2010 , 61 ( 8 ): 2101 - 2115 .
DE REFFYE P , HU B G , KANG M Z , et al . Two decades of research with the GreenLab model in agronomy [J ] . Annals of Botany , 2021 , 127 ( 3 ): 281 - 295 .
PENG B , GUAN K Y , CHEN M , et al . Improving maize growth processes in the community land model:implementation and evaluation [J ] . Agricultural and Forest Meteorology , 2018 , 250/251 : 64 - 89 .
WANG X H , ZHAO C , MÜLLER C , , et al . Emergent constraint on crop yield response to warmer temperature from field experiments [J ] . Nature Sustainability , 2020 , 3 ( 11 ): 908 - 916 .
WENG Y C , WANG X J , HUA J , et al . Greenhouse environment control based on computational experiments [C ] // Proceedings of 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence . New York:ACM Press , 2020 .
WENG Y C , WANG X J , HUA J , et al . Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by web crawler [J ] . IEEE Transactions on Computational Social Systems , 2019 , 6 ( 3 ): 547 - 553 .
庄家煜 , 许世卫 , 李杨 , 等 . 基于深度学习的多种农产品供需预测模型 [J ] . 智慧农业 , 2022 , 4 ( 2 ): 174 - 182 .
ZHUANG J Y , XU S W , LI Y , et al . Supply and demand forecasting model of multi-agricultural products based on deep learning [J ] . Smart Agriculture , 2022 , 4 ( 2 ): 174 - 182 .
LAKSHMANAN V I , CHOCKALINGAM A , MURTY V K , et al . Smart villages:bridging the global urban-rural divide [M ] . Cham : Springer Nature Switzerland AG , 2020 .
吕普生 . 数字乡村与信息赋能 [J ] . 中国高校社会科学 , 2020 ( 2 ): 69 - 79 , 158 .
LYU P S . Digital Village and information empowerment [J ] . Social Sciences in Chinese Higher Education Institutions , 2020 ( 2 ): 69 - 79 , 158 .
康孟珍 , 王秀娟 , 李冬 , 等 . 基于联邦学习的分布式农业组织 [J ] . 智能科学与技术学报 , 2022 , 4 ( 2 ): 288 - 297 .
KANG M Z , WANG X J , LI D , et al . Distributed agricultural organization based on federated learning [J ] . Chinese Journal of Intelligent Science and Technology , 2022 , 4 ( 2 ): 288 - 297 .
WANG X J , KANG M Z , SUN H Q , et al . DeCASA in AgriVerse:parallel agriculture for smart villages in metaverses [J ] . IEEE/CAA Journal of Automatica Sinica , 2022 , 9 ( 12 ): 2055 - 2062 .
KANG M Z , WANG X J , WANG H Y , et al . The development of AgriVerse:past,present,and future [J ] . IEEE Transactions on Systems,Man,and Cybernetics:Systems , 2023 ( 99 ): 1 - 10 .
WANG F Y . Parallel intelligence in metaverses:welcome to Hanoi! [J ] . IEEE Intelligent Systems , 2022 , 37 ( 1 ): 16 - 20 .
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