数字图像监测作物生长特征的研究进展

doi:10.11924/j.issn.1000-6850.casb20200300278

中国农学通报 ›› 2021, Vol. 37 ›› Issue (4): 146-153.doi: 10.11924/j.issn.1000-6850.casb20200300278

数字图像监测作物生长特征的研究进展

赵欣欣¹(), 陈焕轩¹, 韩迎春², 李亚兵¹^,²(), 冯璐¹^,²()

¹棉花生物学国家重点实验室郑州大学研究基地/郑州大学,郑州 450000
²中国农业科学院棉花研究所/棉花生物学国家重点实验室,河南安阳 455000

收稿日期:2020-03-28 修回日期:2020-08-03 出版日期:2021-02-05 发布日期:2021-01-25
通讯作者: 李亚兵,冯璐
作者简介:赵欣欣,女,1996年出生,黑龙江巴彦人,硕士研究生,研究方向：简化栽培与智慧农业。通信地址：455000 河南省安阳市文峰区黄河大道38号中国农业科学院棉花研究所,Tel：0372-2561293,E-mail： zhaoxinx421@163.com。
基金资助:
国家重点研发计划项目“大田经济作物优质丰产的生理基础与调控”(2018YFD1000900)

Crop Growth Monitoring with Digital Images: A Review

Zhao Xinxin¹(), Chen Huanxuan¹, Han Yingchun², Li Yabing¹^,²(), Feng Lu¹^,²()

¹Zhengzhou Research Base, State Key Laboratory of Cotton Biology/ Zhengzhou University, Zhengzhou 450000
²Institute of Cotton Research of Chinese Academy of Agricultural Sciences/ State Key Laboratory of Cotton Biology, Anyang Henan 455000

Received:2020-03-28 Revised:2020-08-03 Online:2021-02-05 Published:2021-01-25
Contact: Li Yabing,Feng Lu

摘要/Abstract

摘要：

为对作物进行田间数量化管理以及长势监测,从数字图像监测作物长势的基本原理、数字图像获取方法、图像分析处理技术以及数字图像在作物长势监测方面的应用4个方面进行概述,简要归纳了数字图像基本原理、获取及分析方法,总结出可以利用数字图像实现作物覆盖度、叶面积指数、生物量、氮素营养诊断进行监测,认为对于数字图像的获取应明确获取标准,要根据具体情况选取分析方法,同时在今后可以利用专家模型,多角度评判作物长势,以期为实现作物的精确管理提供参考。

关键词: 数字图像, 作物, 生长特征, 特征参数, 监测

Abstract:

In order to carry out the quantitative management and the growth monitoring of the crop in field, this paper discussed the methods of digital image acquisition, digital image analysis and processing, and digital image crop growth index monitoring, summarized the basic principles, the acquisition and method of digital image, and concluded that the digital image could be used to monitor the crop coverage, leaf area index, biomass and nitrogen nutrition. It is suggested that the acquisition standard of digital image should be clear, the analysis method should be selected according to the specific situation, and at the same time, expert system should be used to evaluate crop growth from multiple perspectives in the future, so as to achieve the precise management of the crops.

Key words: digital image, crop, growth characteristics, feature parameter, monitoring

中图分类号:

赵欣欣, 陈焕轩, 韩迎春, 李亚兵, 冯璐. 数字图像监测作物生长特征的研究进展[J]. 中国农学通报, 2021, 37(4): 146-153.

Zhao Xinxin, Chen Huanxuan, Han Yingchun, Li Yabing, Feng Lu. Crop Growth Monitoring with Digital Images: A Review[J]. Chinese Agricultural Science Bulletin, 2021, 37(4): 146-153.

图/表 1

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文献来源	植株	拍摄高度/m	拍摄角度/°	图像分辨率/ppi	储存格式
李红军等^[27]	小麦	1.5	60	1024×768	TIFF
Gabriel等^[28]	玉米	1.3	—	2048×1536	—
Sakamoto等^[29]	玉米/大豆	3.4	—	2048×1536	JPEG
Pucell^[30]	大豆	1.5	70	640×480	JPEG
Himsedt等^[31]	草地	0.8	—	2592x1944	JPEG
孙中宇等^[32]	薇甘菊	50	—	8256x5504	NEF(RAW)
靳思雨等^[33]	水稻	550	—	1280x1024	JPEG

文献来源	植株	拍摄高度/m	拍摄角度/°	图像分辨率/ppi	储存格式
李红军等^[27]	小麦	1.5	60	1024×768	TIFF
Gabriel等^[28]	玉米	1.3	—	2048×1536	—
Sakamoto等^[29]	玉米/大豆	3.4	—	2048×1536	JPEG
Pucell^[30]	大豆	1.5	70	640×480	JPEG
Himsedt等^[31]	草地	0.8	—	2592x1944	JPEG
孙中宇等^[32]	薇甘菊	50	—	8256x5504	NEF(RAW)
靳思雨等^[33]	水稻	550	—	1280x1024	JPEG

数字图像监测作物生长特征的研究进展

Crop Growth Monitoring with Digital Images: A Review

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