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农学学报 ›› 2023, Vol. 13 ›› Issue (2): 67-76.doi: 10.11923/j.issn.2095-4050.cjas2021-0217

• 农业信息/农业气象 • 上一篇    下一篇

作物智慧栽培学——信息-农艺-农机深度融合的新农科

顾生浩1,2(), 温维亮1,2, 卢宪菊1,2, 王传宇1,2, 郭新宇1,2()   

  1. 1 北京市农林科学院信息技术研究中心,数字植物北京市重点实验室,北京 100097
    2 国家农业信息化工程技术研究中心,北京 100097
  • 收稿日期:2021-12-15 修回日期:2022-03-06 出版日期:2023-02-19 发布日期:2023-02-19
  • 作者简介:

    顾生浩,男,1990年出生,甘肃白银人,助理研究员,博士,研究方向:作物模型辅助下的表型鉴定与作物系统优化。通信地址:100097 北京市海淀区曙光花园中路11号 北京农科大厦A座919,Tel:010-51503362,E-mail:

  • 基金资助:
    国家自然科学基金项目(32001420); 国家自然科学基金项目(31871519); 财政部和农业农村部国家现代农业产业技术体系资助(CARS-02-37); 财政部和农业农村部国家现代农业产业技术体系资助(CARS-54)

Smart Crop Cultivation: A New Agricultural Science Toward Deep Integration of Information, Agronomy and Machinery

GU Shenghao1,2(), WEN Weiliang1,2, LU Xianju1,2, Wang Chuanyu1,2, GUO Xinyu1,2()   

  1. 1 Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing Key Laboratory of Digital Plant, Beijing 100097, China
    2 National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
  • Received:2021-12-15 Revised:2022-03-06 Online:2023-02-19 Published:2023-02-19

摘要:

在社会发展进入万物智联新时代、农业科学步入数据密集型知识发现的新阶段和智慧农业技术成为国家实施乡村振兴战略的重要抓手的背景下,传统作物栽培学理论技术体系已无法满足智慧栽培发展的需要,亟需加快与其他相关学科深度融合、协同创新,发展作物智慧栽培学。本研究首先阐述了作物智慧栽培的内涵和特征,然后阐明了作物智慧栽培学的概念、研究内容和关键技术以及相应的学科体系,最后提出了作物栽培学的发展趋势、面临挑战及对策建议。围绕智慧栽培中“联接、感知、认知、管控”四大关键环节开展重大科学发现、前沿技术突破和产业模式创新,构建智慧栽培理论技术体系,推动传统栽培向智慧栽培转型升级,有助于实现作物生产的可持续发展,加速推进农业现代化。

关键词: 智慧栽培, 信息-农艺-农机融合, 智慧管控, 大数据

Abstract:

Human society has developed into a new era of intelligent connection of everything, agricultural science has entered a new stage of data-intensive knowledge discovery, and smart agriculture has become an important part to support the implementation of the Rural Revitalization Strategy. Under this background, the traditional theoretical and technical system of crop cultivation could no longer meet the needs of the development of smart crop cultivation, and it is urgent to accelerate the deep integration and collaborative innovation with other related disciplines to develop smart crop cultivation. This study first elaborates the connotation and characteristics of smart crop cultivation, then clarifies the concept, research content and key technologies and the corresponding disciplinary system, and finally proposes the development trend, challenges, and countermeasures of crop cultivation. To implement major scientific discoveries, frontier technology breakthroughs and industrial model innovations around the four key aspects of connection, perception, cognition and control in smart cultivation, to build a theoretical and technological system of smart cultivation, and to promote the transformation and upgrading of traditional cultivation to smart cultivation will help achieve sustainable development of crop production and accelerate agricultural modernization.

Key words: smart crop cultivation, information-agronomy-machinery integration, smart control, big data