{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T12:56:09Z","timestamp":1782219369325,"version":"3.54.5"},"reference-count":56,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T00:00:00Z","timestamp":1573689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFD0300601"],"award-info":[{"award-number":["2016YFD0300601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Qinglan Project, the Fundamental Research Funds for the Central Universities","award":["SYSB201801"],"award-info":[{"award-number":["SYSB201801"]}]},{"name":"the postgraduate Research &amp; Practice Innovation Program of Jiangsu Province","award":["KYCX18_0659"],"award-info":[{"award-number":["KYCX18_0659"]}]},{"name":"Jiangsu Collaborative Innovation Center for Modern Crop Production(JCICMCP), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the Jiangsu Province Key Technologies R&amp;D Program","award":["BE2016375"],"award-info":[{"award-number":["BE2016375"]}]},{"name":"Qinghai Project of Transformation of Scientific and Technological Achievements","award":["2018-NK-126"],"award-info":[{"award-number":["2018-NK-126"]}]},{"name":"Xinjiang Corps Great Science and Technology Projects","award":["2018AA00403"],"award-info":[{"award-number":["2018AA00403"]}]},{"DOI":"10.13039\/501100013314","name":"111 project","doi-asserted-by":"publisher","award":["B16026"],"award-info":[{"award-number":["B16026"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Commercially available digital cameras can be mounted on an unmanned aerial vehicle (UAV) for crop growth monitoring in open-air fields as a low-cost, highly effective observation system. However, few studies have investigated their potential for nitrogen (N) status monitoring, and the performance of camera-derived vegetation indices (VIs) under different conditions remains poorly understood. In this study, five commonly used VIs derived from normal color (RGB) images and two typical VIs derived from color near-infrared (CIR) images were used to estimate leaf N concentration (LNC). To explore the potential of digital cameras for monitoring LNC at all crop growth stages, two new VIs were proposed, namely, the true color vegetation index (TCVI) from RGB images and the false color vegetation index (FCVI) from CIR images. The relationships between LNC and the different VIs varied at different stages. The commonly used VIs performed well at some stages, but the newly proposed TCVI and FCVI had the best performance at all stages. The performances of the VIs with red (or near-infrared) and green bands as the numerator were limited by saturation at intermediate to high LNCs (LNC &gt; 3.0%), but the TCVI and FCVI had the ability to mitigate the saturation. The results of model validations further supported the superiority of the TCVI and FCVI for LNC estimation. Compared to the other VIs derived using RGB cameras, the relative root mean square errors (RRMSEs) of the TCVI were improved by 8.6% on average. For the CIR images, the best-performing VI for LNC was the FCVI (R2 = 0.756, RRMSE = 14.18%). The LNC\u2013TCVI and LNC\u2013FCVI were stable under different cultivars, N application rates, and planting densities. The results confirmed the applicability of UAV-based RGB and CIR cameras for crop N status monitoring under different conditions, which should assist the precision management of N fertilizers in agronomic practices.<\/jats:p>","DOI":"10.3390\/rs11222667","type":"journal-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T10:56:34Z","timestamp":1573728994000},"page":"2667","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2214-7009","authenticated-orcid":false,"given":"Jiale","family":"Jiang","sequence":"first","affiliation":[{"name":"National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, 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Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengbiao","family":"Zheng","sequence":"additional","affiliation":[{"name":"National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China"},{"name":"Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China"},{"name":"Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4184-0730","authenticated-orcid":false,"given":"Tao","family":"Cheng","sequence":"additional","affiliation":[{"name":"National Engineering and Technology 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University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1884-2404","authenticated-orcid":false,"given":"Yan","family":"Zhu","sequence":"additional","affiliation":[{"name":"National Engineering and Technology Center for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China"},{"name":"Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Nanjing Agricultural University, Nanjing 210095, China"},{"name":"Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China"},{"name":"Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Ehsani","sequence":"additional","affiliation":[{"name":"School of Engineering, University of California, 5200 Lake Road, Merced, CA 95343, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongqiang","family":"Hu","sequence":"additional","affiliation":[{"name":"Qinghai Science and Technology Information Research Institute Co. 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