Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images

ABSTRACT The excessive use of N in agriculture has created various environmental and economic problems. Remote sensing and unmanned aerial vehicles (UAV) are feasible solutions to infer the status of a crop and enable a better management during the growing season. The objective of this study was to...

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Autores principales:	Gordillo-Salinas,Víctor Manuel, Flores-Magdaleno,Héctor, Ortiz-Solorio,Carlos Alberto, Arteaga-Ramírez,Ramón
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2021
Materias:	Blue normalized difference vegetation index critical nitrogen dilution curve green normalized difference vegetation index nitrogen nutrition index Triticum aestivum
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392021000300408
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spelling	oai:scielo:S0718-583920210003004082021-08-16Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle imagesGordillo-Salinas,Víctor ManuelFlores-Magdaleno,HéctorOrtiz-Solorio,Carlos AlbertoArteaga-Ramírez,Ramón Blue normalized difference vegetation index critical nitrogen dilution curve green normalized difference vegetation index nitrogen nutrition index Triticum aestivum ABSTRACT The excessive use of N in agriculture has created various environmental and economic problems. Remote sensing and unmanned aerial vehicles (UAV) are feasible solutions to infer the status of a crop and enable a better management during the growing season. The objective of this study was to correlate experimental N content and wheat (Triticum aestivum L.) crop aboveground biomass data with vegetation indices estimated using UAV images. In this study, the N nutrition index and N dilution curve were used as indicators of the state of plant N; input variables to estimate these indicators were the N content and aboveground biomass. Four flight campaigns were conducted at different phenological stages of a wheat crop and seven N doses were evaluated. A linear relationship of blue normalized difference vegetation index (BNDVI) and green normalized difference vegetation index (GNDVI) with aboveground biomass and N content was identified. BNDVI and biomass demonstrated high R2 during boots swollen and end of anthesis growth stages (0.62 and 0.68, respectively), while GNDVI showed the highest R2 during the ear half emerged and beginning of anthesis growth stages (0.84 and 0.79, respectively). For N content estimation, GNDVI showed a higher correlation than BNDVI, and the adjustment curve showed an R2 up to 0.81 only for the last flight (end of anthesis), BNDVI showed an R2 of 0.78. Remote sensing and vegetation indices estimated from UAV images can be reliably used to estimate N content and wheat biomass, contributing to knowing the crop N status.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.81 n.3 20212021-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392021000300408en10.4067/S0718-58392021000300408
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Blue normalized difference vegetation index critical nitrogen dilution curve green normalized difference vegetation index nitrogen nutrition index Triticum aestivum
spellingShingle	Blue normalized difference vegetation index critical nitrogen dilution curve green normalized difference vegetation index nitrogen nutrition index Triticum aestivum Gordillo-Salinas,Víctor Manuel Flores-Magdaleno,Héctor Ortiz-Solorio,Carlos Alberto Arteaga-Ramírez,Ramón Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
description	ABSTRACT The excessive use of N in agriculture has created various environmental and economic problems. Remote sensing and unmanned aerial vehicles (UAV) are feasible solutions to infer the status of a crop and enable a better management during the growing season. The objective of this study was to correlate experimental N content and wheat (Triticum aestivum L.) crop aboveground biomass data with vegetation indices estimated using UAV images. In this study, the N nutrition index and N dilution curve were used as indicators of the state of plant N; input variables to estimate these indicators were the N content and aboveground biomass. Four flight campaigns were conducted at different phenological stages of a wheat crop and seven N doses were evaluated. A linear relationship of blue normalized difference vegetation index (BNDVI) and green normalized difference vegetation index (GNDVI) with aboveground biomass and N content was identified. BNDVI and biomass demonstrated high R2 during boots swollen and end of anthesis growth stages (0.62 and 0.68, respectively), while GNDVI showed the highest R2 during the ear half emerged and beginning of anthesis growth stages (0.84 and 0.79, respectively). For N content estimation, GNDVI showed a higher correlation than BNDVI, and the adjustment curve showed an R2 up to 0.81 only for the last flight (end of anthesis), BNDVI showed an R2 of 0.78. Remote sensing and vegetation indices estimated from UAV images can be reliably used to estimate N content and wheat biomass, contributing to knowing the crop N status.
author	Gordillo-Salinas,Víctor Manuel Flores-Magdaleno,Héctor Ortiz-Solorio,Carlos Alberto Arteaga-Ramírez,Ramón
author_facet	Gordillo-Salinas,Víctor Manuel Flores-Magdaleno,Héctor Ortiz-Solorio,Carlos Alberto Arteaga-Ramírez,Ramón
author_sort	Gordillo-Salinas,Víctor Manuel
title	Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
title_short	Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
title_full	Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
title_fullStr	Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
title_full_unstemmed	Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
title_sort	evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392021000300408
work_keys_str_mv	AT gordillosalinasvictormanuel evaluationofnitrogenstatusinawheatcropusingunmannedaerialvehicleimages AT floresmagdalenohector evaluationofnitrogenstatusinawheatcropusingunmannedaerialvehicleimages AT ortizsoloriocarlosalberto evaluationofnitrogenstatusinawheatcropusingunmannedaerialvehicleimages AT arteagaramirezramon evaluationofnitrogenstatusinawheatcropusingunmannedaerialvehicleimages
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Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images

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