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Monitoring litchi canopy foliar phosphorus content using hyperspectral data
Li, Dan1; Wang, Chongyang1; Jiang, Hao1; Peng, Zhiping2; Yang, Ji1; Su, Yongxian1; Song, Jia3; Chen, Shuisen1
2018-11-01
Source PublicationCOMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
Volume154Pages:176-186
Corresponding AuthorChen, Shuisen(css@gdas.ac.cn)
AbstractPhosphorus (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.
KeywordCanopy Growth stage Litchi Phosphorus Spectral index
DOI10.1016/j.compag.2018.09.007
WOS KeywordREFLECTANCE SPECTRA ; NITROGEN ; LEAF ; VEGETATION ; INDEX ; WHEAT
Indexed BySCI
Language英语
Funding ProjectGDAS' 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]
Funding OrganizationGDAS' 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
WOS Research AreaAgriculture ; Computer Science
WOS SubjectAgriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000449246200017
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52499
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Shuisen
Affiliation1.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
Recommended Citation
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.
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