气候变化领域集成服务门户(CCPortal): Rice yield and quality estimation coupling hierarchical linear model with remote sensing

CCPortal

DOI	10.1016/j.compag.2024.108731
	Rice yield and quality estimation coupling hierarchical linear model with remote sensing
	Xue, Hanyu; Xu, Xingang; Zhu, Qingzhen; Meng, Yang; Long, Huiling; Li, Heli; Song, Xiaoyu; Yang, Guijun; Yang, Min; Li, Yafeng; Jiang, Xiangtai
发表日期	2024
ISSN	0168-1699
EISSN	1872-7107
起始页码	218
卷号	218
英文摘要	Timely and accurate estimation of crop yield and quality can provide a practical and effective basis for the formulation of national food policies. Based on remote sensing data of rice multi-growth stages from 2021 to 2022 in Ninghe District of Tianjin, the methods coupling hierarchical linear model (HLM) with typical vegetation indices and meteorological data were used to estimate yield and quality in rice. The results showed that: (1) Compared with the multiple linear regression model, the methods of estimating rice yield and quality based on HLM had higher stability in interannual expansion; (2) For the three growth stages of rice, namely, jointing, booting and filling stage, the hierarchical linear model of yield and quality estimation at booting stage showed the highest performance. The R<^>2 of the GRVI rice yield estimation model, MSR rice amylose content estimation model, and RDVI rice protein content estimation model were 0.52, 0.70, and 0.88, and RMSE were 1.17 t/ha, 0.85 %, and 0.33 %, respectively. The nRMSE was 11.06 %, 4.46 %, and 3.37 %, respectively. The HLM rice yield and quality estimation models based on multi-growth period data were further established. The GCI rice yield estimation model, MSR amylose content estimation model, and DVI protein content estimation model R<^>2 were 0.67, 0.75, and 0.91, and RMSE were 1.01 t/ha, 0.78 %, and 0.30 %. The nRMSE was 9.48 %, 4.07 %, and 3.05 %. It indicates that the method using HLM has a good potential for accessing yield and quality in rice and shows better scalability at interannual and regional scales.
英文关键词	Hierarchical linear model; Rice yield and quality; Estimation model
语种	英语
WOS研究方向	Agriculture ; Computer Science
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:001203048600001
来源期刊	COMPUTERS AND ELECTRONICS IN AGRICULTURE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300278
作者单位	Jiangsu University; Ministry of Agriculture & Rural Affairs; Beijing Academy of Agriculture & Forestry Sciences (BAAFS)
推荐引用方式 GB/T 7714	Xue, Hanyu,Xu, Xingang,Zhu, Qingzhen,et al. Rice yield and quality estimation coupling hierarchical linear model with remote sensing[J],2024,218.
APA	Xue, Hanyu.,Xu, Xingang.,Zhu, Qingzhen.,Meng, Yang.,Long, Huiling.,...&Jiang, Xiangtai.(2024).Rice yield and quality estimation coupling hierarchical linear model with remote sensing.COMPUTERS AND ELECTRONICS IN AGRICULTURE,218.
MLA	Xue, Hanyu,et al."Rice yield and quality estimation coupling hierarchical linear model with remote sensing".COMPUTERS AND ELECTRONICS IN AGRICULTURE 218(2024).