From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth
Mengzhen Kang; Fei-Yue Wang
2017
发表期刊IEEE/CAA Journal of Automatica Sinica
卷号4期号:2页码:161-166
摘要Precision management of agricultural systems, aiming
at optimizing profitability, productivity and sustainability,
comprises a set of technologies including sensors, information
systems, and informed management, etc. Expert systems are
expected to aid farmers in plant management or environment
control, but they are mostly based on the offline and static information,
deviated from the actual situation. Parallel management,
achieved by virtual/artificial agricultural system, computational
experiment and parallel execution, provides a generic framework
of solution for online decision support. In this paper, we present
the three steps toward the parallel management of plant: growth
description (the crop model), prediction, and prescription. This
approach can update the expert system by adding learning
ability and the adaption of knowledge database according to
the descriptive and predictive model. The possibilities of passing
the knowledge of experienced farmers to younger generation, as
well as the application to the parallel breeding of plant through
such system, are discussed.
关键词Artificial Intelligence Cropping Plan Management System Precision Agriculture Plant Model.
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19740
专题复杂系统管理与控制国家重点实验室_先进控制与自动化
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Mengzhen Kang,Fei-Yue Wang. 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.
APA Mengzhen Kang,&Fei-Yue Wang.(2017).From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth.IEEE/CAA Journal of Automatica Sinica,4(2),161-166.
MLA Mengzhen Kang,et al."From Parallel Plants to Smart Plants: Intelligent Control and Management for Plant Growth".IEEE/CAA Journal of Automatica Sinica 4.2(2017):161-166.
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