{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:09:53Z","timestamp":1743080993082,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030061784"},{"type":"electronic","value":"9783030061791"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-06179-1_33","type":"book-chapter","created":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T05:24:08Z","timestamp":1547011448000},"page":"321-339","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hyperspectral Estimation of Nitrogen Content in Winter Wheat Leaves Based on Unmanned Aerial Vehicles"],"prefix":"10.1007","author":[{"given":"Liu","family":"Mingxing","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Changchun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Haikuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Haojie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Zhenhai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Fuqin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Guijun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xu","family":"Shouzhi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,9]]},"reference":[{"key":"33_CR1","volume-title":"Quantitative agricultural remote sensing","author":"J Wang","year":"2008","unstructured":"Wang, J., Zhao, C., Huang, W., et al.: Quantitative agricultural remote sensing. Science Press, Beijing (2008)"},{"issue":"6","key":"33_CR2","doi-asserted-by":"publisher","first-page":"647","DOI":"10.14358\/PERS.69.6.647","volume":"69","author":"PJ Pinter Jr","year":"2003","unstructured":"Pinter Jr., P.J., Hatfield, J.L., Schepers, J.S., et al.: Remote sensing for crop management. Potogrammetric Eng. Remote Sens. 69(6), 647\u2013664 (2003)","journal-title":"Potogrammetric Eng. Remote Sens."},{"issue":"4","key":"33_CR3","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1016\/S0034-4257(03)00131-7","volume":"86","author":"PM Hansen","year":"2003","unstructured":"Hansen, P.M., Schjoerring, J.K.: Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sens. Environ. 86(4), 542\u2013553 (2003)","journal-title":"Remote Sens. Environ."},{"issue":"3","key":"33_CR4","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.eja.2007.11.005","volume":"28","author":"W Feng","year":"2008","unstructured":"Feng, W., Yao, X., Zhu, Y., et al.: Monitoring leaf nitrogen status with hyperspectral reflectance in wheat. Eur. J. Agron. 28(3), 394\u2013404 (2008)","journal-title":"Eur. J. Agron."},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Clevers, J., Kooistra, L.: Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content. In: 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp. 1\u20134. IEEE (2011)","DOI":"10.1109\/WHISPERS.2011.6080916"},{"issue":"3","key":"33_CR6","first-page":"474","volume":"50","author":"X Zhang","year":"2017","unstructured":"Zhang, X., Zhang, L., Zhang, X., et al.: The sensitivity study of retrieving leaf nitrogen content of Winter Wheat with different spectral vegetation index. Chin. Agric. Sci. 50(3), 474\u2013485 (2017)","journal-title":"Chin. Agric. Sci."},{"issue":"2","key":"33_CR7","first-page":"46","volume":"25","author":"X Zhu","year":"2005","unstructured":"Zhu, X., Sheng, H., Gu, J., et al.: Preliminary study on predicting chlorophyll and nitrogen content in wheat leaves using SPAD value. J. Wheat Crop. 25(2), 46\u201350 (2005)","journal-title":"J. Wheat Crop."},{"issue":"3","key":"33_CR8","first-page":"3463","volume":"26","author":"Y Li","year":"2006","unstructured":"Li, Y., Zhu, Y., Tian, Y., et al.: Quantitative relationship between leaf nitrogen content and canopy reflectance spectral index. Proc. Crop 26(3), 3463\u20133469 (2006)","journal-title":"Proc. Crop"},{"issue":"3","key":"33_CR9","first-page":"508","volume":"38","author":"Y Sun","year":"2007","unstructured":"Sun, Y., Wang, J., Li, B., et al.: Establishment and validation of GRNN hyperspectral remote sensing model for retrieving winter wheat leaf nitrogen content based on GA. Bull. Soils 38(3), 508\u2013512 (2007)","journal-title":"Bull. Soils"},{"issue":"5","key":"33_CR10","first-page":"845","volume":"29","author":"G Zhang","year":"2017","unstructured":"Zhang, G., Xu, T., Yu, F., et al.: Rice leaf nitrogen Hyperspectral Estimation and inversion based on the model. Zhejiang J. Agric. Sci. 29(5), 845\u2013849 (2017)","journal-title":"Zhejiang J. Agric. Sci."},{"issue":"7","key":"33_CR11","first-page":"1319","volume":"27","author":"J Wang","year":"2007","unstructured":"Wang, J., Huang, W., Lao, C.L., et al.: Using wheat canopy reflectance spectra to retrieve the vertical distribution of nitrogen by PLS algorithm. Spectrosc. Spectr. Anal. 27(7), 1319\u20131322 (2007)","journal-title":"Spectrosc. Spectr. Anal."},{"key":"33_CR12","unstructured":"Ju, C.: Monitoring nitrogen status and growth characteristics of wheat using ground air hyperspectral remote sensing. Nanjing Agricultural University (2008)"},{"issue":"3","key":"33_CR13","first-page":"2655","volume":"46","author":"Q Zhai","year":"2013","unstructured":"Zhai, Q., Zhang, J., Xiong, S., et al.: Hyperspectral differences and monitoring model construction of nitrogen content in wheat leaves based on different soil texture. Agric. Sci. China 46(13), 2655\u20132667 (2013)","journal-title":"Agric. Sci. China"},{"issue":"2","key":"33_CR14","first-page":"302","volume":"47","author":"F Li","year":"2016","unstructured":"Li, F., Chang, Q., Shen, J., et al.: Estimation of nitrogen content in winter wheat leaves with wide band reflectance of simulated multispectral satellite. Chin. J. Agric. Mach. 47(2), 302\u2013308 (2016)","journal-title":"Chin. J. Agric. Mach."},{"issue":"19","key":"33_CR15","first-page":"191","volume":"30","author":"R Wang","year":"2014","unstructured":"Wang, R., Song, X., Li, Z.: Estimation of nitrogen nutrition index of winter wheat based on hyperspectral analysis. J. Agric. Eng. 30(19), 191\u2013198 (2014)","journal-title":"J. Agric. Eng."},{"issue":"23","key":"33_CR16","first-page":"161","volume":"32","author":"F Yang","year":"2016","unstructured":"Yang, F., Dai, H., Feng, H., et al.: Estimation of plant nitrogen content in winter wheat using hyperspectral based on akaike information criterion. J. Agric. Eng. 32(23), 161\u2013167 (2016)","journal-title":"J. Agric. Eng."},{"issue":"8\u201310","key":"33_CR17","doi-asserted-by":"publisher","first-page":"2117","DOI":"10.1080\/01431161.2016.1253899","volume":"38","author":"H Liu","year":"2017","unstructured":"Liu, H., Zhu, H., Wang, P., et al.: Quantitative modeling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data. Int. J. Remote Sens. 38(8\u201310), 2117\u20132134 (2017)","journal-title":"Int. J. Remote Sens."},{"issue":"15","key":"33_CR18","first-page":"239","volume":"30","author":"B Li","year":"2014","unstructured":"Li, B., Li, Z., Yu, T., et al.: Study on fractal dimension of vegetation cover in watershed based on normalized vegetation index. J. Agric. Eng. 30(15), 239\u2013247 (2014)","journal-title":"J. Agric. Eng."},{"issue":"2","key":"33_CR19","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.fcr.2010.11.002","volume":"120","author":"YC Tian","year":"2011","unstructured":"Tian, Y.C., Yao, X., Yang, J., et al.: Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground-and space-based hyperspectral reflectance. Field Crop. Res. 120(2), 299\u2013310 (2011)","journal-title":"Field Crop. Res."},{"issue":"6","key":"33_CR20","first-page":"783","volume":"35","author":"P Luo","year":"2002","unstructured":"Luo, P., Guo, J., Li, Q., et al.: Discussion on modeling based on partial least squares regression. J. Tianjin Univ. Nat. Sci. Eng. Technol. 35(6), 783\u2013786 (2002)","journal-title":"J. Tianjin Univ. Nat. Sci. Eng. Technol."}],"container-title":["IFIP Advances in Information and Communication Technology","Computer and Computing Technologies in Agriculture XI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-06179-1_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T01:10:18Z","timestamp":1673140218000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-06179-1_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030061784","9783030061791"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-06179-1_33","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"9 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer and Computing Technologies in Agriculture","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jilin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 August 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccta2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccta.cn","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}