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Parallel agriculture:intelligent technology toward smart agriculture
- Chinese Journal of Intelligent Science and Technology Vol. 1, Issue 2, Pages: 107-117(2019)
- 作者机构：
1. 中国科学院自动化研究所 复杂系统管理与控制国家重点实验室，北京 100190
2. 中国科学院自动化研究所 北京智能技术工程研究中心，北京 100190
3. 青岛智能产业技术研究院 智慧农业研究所，山东 青岛266109；4.青岛中科慧农科技有限公司，山东 青岛266109
4. 青岛中科慧农科技有限公司，山东 青岛266109
- 作者简介：
- 基金信息：The National Natural Science Foundation of China(61533019)
DOI：10.11959/j.issn.2096-6652.201904
CLC： S-1-
Published Online：2019-06，
Published：20 June 2019
- 稿件说明：
移动端阅览
Mengzhen KANG, Xiujuan WANG, Jing HUA, et al. Parallel agriculture:intelligent technology toward smart agriculture[J]. Chinese journal of intelligent science and technology, 2019, 1(2): 107-117.
Mengzhen KANG, Xiujuan WANG, Jing HUA, et al. Parallel agriculture:intelligent technology toward smart agriculture[J]. Chinese journal of intelligent science and technology, 2019, 1(2): 107-117. DOI： 10.11959/j.issn.2096-6652.201904.
摘要
农业生产具有很强的不确定性、多样性、复杂性，其经营效益与自然条件、国家政策、市场环境息息相关。互联网时代的到来，给农业生产带来了新的挑战和机遇。总的来说，智慧农业是指利用信息技术，对农业生产—经营—管理—服务全产业链进行智能化控制，实现农业生产的优质、高效、安全和可控。在略述当前智慧农业信息感知、智能决策和决策实施三方面技术现状的基础之上，提出实现智慧农业智能决策之平行农业技术，以及如何以人工系统实现描述智能、以计算实验实现预测智能、以平行执行实现引导智能，并提出与农业企业资源计划、农业生产执行系统、农业生产过程控制系统相结合的构想。在当今大力发展农业规模化生产的背景下，为发展工业化的农业生产和经营提供了思路。
Abstract
Agricultural production is featured by strong uncertainty
diversity and complexity.Production benefit is related to natural conditions
national policies and market environment.Internet brings new challenges and chances to the management in agriculture.Generally speaking
smart agriculture refers to smart control on full production chain including management and service
using ICT techniques
in order to achieve high quality
high efficiency
security and controllability.Based on a brief introduction on the techniques related to these three aspects
the parallel agriculture as the methodology for decision support in smart agriculture was proposed
with artificial system for description intelligence
computational experiments for prediction intelligence
and parallel execution for prescription intelligence.Moreover
the link to agricultural enterprise resource planning (ERP) system
manufacturing execution system (MES) and process control system (PCS) was discussed.As China was developing large-scale agricultural production
methodology for managing scaled agriculture production was provided.
关键词
Keywords
references
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