平行农业：迈向智慧农业的智能技术

康孟珍; 王秀娟; 华净; 王浩宇; 王飞跃

doi:10.11959/j.issn.2096-6652.201904

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平行农业：迈向智慧农业的智能技术

常规论文 | 更新时间：2024-06-05

- 平行农业：迈向智慧农业的智能技术
- Parallel agriculture:intelligent technology toward smart agriculture
- 智能科学与技术学报 2019年1卷第2期页码：107-117
- 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：
  
  [ "康孟珍（1975- ），女，浙江宁波人，中国科学院自动化研究所副研究员，主要研究方向为平行农业和计算植物。" ]
  [ "王秀娟（1982- ），女，内蒙古赤峰市人，中国科学院自动化研究所助理研究员，主要研究方向为平行农业和植物建模。" ]
  [ "华净（1981- ），男，江苏常德人，中国科学院自动化研究所助理研究员，主要研究方向为植物生长建模、智慧农业、编程语言、分布式计算系统及计算机图形学。" ]
  [ "王浩宇（1984- ），男，河北沧州人，中国科学院自动化研究所助理研究员，主要研究方向为植物生长建模、智慧农业、编程语言及信息系统。" ]
  [ "王飞跃（1961- ），男，浙江东阳人，中国科学院自动化研究所研究员，主要研究方向为智能系统和复杂系统建模、分析与控制。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(31700315);国家自然科学基金项目(61533019);国家自然科学基金资助项目;The National Natural Science Foundation of China(31400623)
- DOI：10.11959/j.issn.2096-6652.201904
  中图分类号： S-1
- 网络出版日期：2019-06，
  
  纸质出版日期：2019-06-20
- 稿件说明：
移动端阅览
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.

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.
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. DOI： 10.11959/j.issn.2096-6652.201904.

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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