Monitoring litchi canopy foliar phosphorus content using hyperspectral data

doi:10.1016/j.compag.2018.09.007

	Monitoring litchi canopy foliar phosphorus content using hyperspectral data
	Li, Dan 1; Wang, Chongyang 1; Jiang, Hao 1; Peng, Zhiping 2; Yang, Ji 1; Su, Yongxian 1; Song, Jia 3; Chen, Shuisen 1
刊名	COMPUTERS AND ELECTRONICS IN AGRICULTURE
	2018-11-01
卷号	154 页码:176-186
关键词	Canopy Growth stage Litchi Phosphorus Spectral index
ISSN号	0168-1699
DOI	10.1016/j.compag.2018.09.007
通讯作者	Chen, Shuisen(css@gdas.ac.cn)
英文摘要	Phosphorus (P) is an important element to litchi yield and fruit quality in addition to nitrogen (N) and potassium (K). This study was undertaken to explore the ability to predict P content using canopy reflectance. Some published indices and two ratio spectral indices (Ratio of reflectance index, RRI; Ratio of reflectance difference index, RRDI) developed by band interactive-optimization algorithms were investigated to determine their performance in predicting litchi canopy foliar P content. The results showed that optimal spectral indices selected by correlation analyses reached the highest level of accuracy in the retrieval of P content at each growth stage (R(2)cv = 0.54-0.98, RMSEcv = 0.02-0.03). The particular wavelengths of importance in the significant RRIs and RRDIs changed with the growing stages, cultivars and planting conditions. The sensitive wavebands ranged from the visible to the short-wave infrared (SWIR) regions, which are related to the absorption features of pigments (e.g., anthocyanin, chlorophyll), proteins, nitrogen, starch, sugar, oil, cellulose, and lignin. And the wavebands in SWIR region were used in the optimal RRIs and RRDIs for growth stages. This study demonstrates that the optimal RRDI is useful in predicting litchi foliar P content. The successes of use of SWIR in foliar nutrient monitoring is important for precision agriculture.
资助项目	GDAS' Special Project of Science and Technology Development, China[2017GDASCX-0101] ; Natural Science Foundation of Guangdong Province, China[2015A030313805] ; Natural Science Foundation of Guangdong Province, China[2015A030313811] ; Construction Project of Discipline Team of Guangdong Academy of Agricultural Sciences, China[201632td]
WOS关键词	REFLECTANCE SPECTRA ; NITROGEN ; LEAF ; VEGETATION ; INDEX ; WHEAT
WOS研究方向	Agriculture ; Computer Science
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000449246200017
资助机构	GDAS' Special Project of Science and Technology Development, China ; Natural Science Foundation of Guangdong Province, China ; Construction Project of Discipline Team of Guangdong Academy of Agricultural Sciences, China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52498]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Shuisen
作者单位	1.Guangzhou Inst Geog, Guangdong Key Lab Remote Sensing & GIS Applicat, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Guangdong, Peoples R China 2.Guangdong Acad Agr Sci, Inst Agr Resources & Environm, Guangzhou 510640, Guangdong, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Dan,Wang, Chongyang,Jiang, Hao,et al. Monitoring litchi canopy foliar phosphorus content using hyperspectral data[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2018,154:176-186.
APA	Li, Dan.,Wang, Chongyang.,Jiang, Hao.,Peng, Zhiping.,Yang, Ji.,...&Chen, Shuisen.(2018).Monitoring litchi canopy foliar phosphorus content using hyperspectral data.COMPUTERS AND ELECTRONICS IN AGRICULTURE,154,176-186.
MLA	Li, Dan,et al."Monitoring litchi canopy foliar phosphorus content using hyperspectral data".COMPUTERS AND ELECTRONICS IN AGRICULTURE 154(2018):176-186.