Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture
- Autores
- Laplacette, Celina María; Berone, German Dario; Utsumi, Santiago A.; Insua, Juan Ramón
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Accurate estimation of herbage mass is crucial for managing pastoral livestock systems. The Normalized Difference Vegetation Index (NDVI) from Unmanned Aerial Vehicle (UAV) sensors shows promise for high-resolution estimations of pasture herbage mass, but it is still unknown how this method differs among forage species, seasons, and pasture management practices. A commercial sensor was calibrated to predict herbage mass using NDVI. Additionally, the effect of different forage species, days of regrowth, and nitrogen (N) status on the relationship between NDVI and herbage mass was evaluated. Two pastures of tall wheatgrass (Thinopyrum ponticum) and tall fescue (Festuca arundinacea), divided into 30 and 72 plots, respectively, were assessed during spring and autumn regrowth over two years in Balcarce, Argentina. Doses of 0, 50, and 100 kg N ha−1 were applied to tall wheatgrass, and 0, 50, 100, 200, 400, and 600 kg N ha−1 were applied to tall fescue to create variability in herbage mass and N status. Exponential regression models of herbage mass (y) fitted against NDVI (x) showed an average R2 of 0.83 ± 0.04 and a mean absolute error of 170 ± 60 kg DM ha−1. The relationship between NDVI and herbage mass differed (p ≤ 0.05) between species, seasons, and regrowth stage, but was not influenced by N status (p > 0.05). Results suggest that accurate predictions of herbage mass using NDVI measurements by an UAV require frequent model recalibrations to account for observed differences among forage species, days of regrowth, and years.
EEA Balcarce
Fil: Laplacette, Celina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Laplacette, Celina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Berone, Germán Dario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Berone, Germán Dario. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Utsumi, Santiago. New Mexico State University. Department of Animal and Range Sciences; Estados Unidos
Fil: Insúa, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Insúa, Juan. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina - Fuente
- Agriculture 15 (5) : 492. (March 2025)
- Materia
-
Teledetección
Vehículos Aéreos no Tripulados
Calibración
Pastizales
Índice Normalizado Diferencial de la Vegetación
Remote Sensing
Unmanned Aerial Vehicles
Calibration
Pastures
Normalized Difference Vegetation Index
NDVI - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/21566
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Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate PastureLaplacette, Celina MaríaBerone, German DarioUtsumi, Santiago A.Insua, Juan RamónTeledetecciónVehículos Aéreos no TripuladosCalibraciónPastizalesÍndice Normalizado Diferencial de la VegetaciónRemote SensingUnmanned Aerial VehiclesCalibrationPasturesNormalized Difference Vegetation IndexNDVIAccurate estimation of herbage mass is crucial for managing pastoral livestock systems. The Normalized Difference Vegetation Index (NDVI) from Unmanned Aerial Vehicle (UAV) sensors shows promise for high-resolution estimations of pasture herbage mass, but it is still unknown how this method differs among forage species, seasons, and pasture management practices. A commercial sensor was calibrated to predict herbage mass using NDVI. Additionally, the effect of different forage species, days of regrowth, and nitrogen (N) status on the relationship between NDVI and herbage mass was evaluated. Two pastures of tall wheatgrass (Thinopyrum ponticum) and tall fescue (Festuca arundinacea), divided into 30 and 72 plots, respectively, were assessed during spring and autumn regrowth over two years in Balcarce, Argentina. Doses of 0, 50, and 100 kg N ha−1 were applied to tall wheatgrass, and 0, 50, 100, 200, 400, and 600 kg N ha−1 were applied to tall fescue to create variability in herbage mass and N status. Exponential regression models of herbage mass (y) fitted against NDVI (x) showed an average R2 of 0.83 ± 0.04 and a mean absolute error of 170 ± 60 kg DM ha−1. The relationship between NDVI and herbage mass differed (p ≤ 0.05) between species, seasons, and regrowth stage, but was not influenced by N status (p > 0.05). Results suggest that accurate predictions of herbage mass using NDVI measurements by an UAV require frequent model recalibrations to account for observed differences among forage species, days of regrowth, and years.EEA BalcarceFil: Laplacette, Celina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Laplacette, Celina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Berone, Germán Dario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Berone, Germán Dario. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Utsumi, Santiago. New Mexico State University. Department of Animal and Range Sciences; Estados UnidosFil: Insúa, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Insúa, Juan. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaMDPI2025-03-06T13:53:28Z2025-03-06T13:53:28Z2025-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/21566https://www.mdpi.com/2077-0472/15/5/4922077-0472https://doi.org/10.3390/agriculture15050492Agriculture 15 (5) : 492. (March 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PE-E1-I007-001, Incremento sostenible de la producción y utilización de pasturas y forrajes conservadosinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:50:57Zoai:localhost:20.500.12123/21566instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:50:58.111INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
title |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
spellingShingle |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture Laplacette, Celina María Teledetección Vehículos Aéreos no Tripulados Calibración Pastizales Índice Normalizado Diferencial de la Vegetación Remote Sensing Unmanned Aerial Vehicles Calibration Pastures Normalized Difference Vegetation Index NDVI |
title_short |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
title_full |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
title_fullStr |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
title_full_unstemmed |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
title_sort |
Calibration of an Unmanned Aerial Vehicle for Prediction of Herbage Mass in Temperate Pasture |
dc.creator.none.fl_str_mv |
Laplacette, Celina María Berone, German Dario Utsumi, Santiago A. Insua, Juan Ramón |
author |
Laplacette, Celina María |
author_facet |
Laplacette, Celina María Berone, German Dario Utsumi, Santiago A. Insua, Juan Ramón |
author_role |
author |
author2 |
Berone, German Dario Utsumi, Santiago A. Insua, Juan Ramón |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Teledetección Vehículos Aéreos no Tripulados Calibración Pastizales Índice Normalizado Diferencial de la Vegetación Remote Sensing Unmanned Aerial Vehicles Calibration Pastures Normalized Difference Vegetation Index NDVI |
topic |
Teledetección Vehículos Aéreos no Tripulados Calibración Pastizales Índice Normalizado Diferencial de la Vegetación Remote Sensing Unmanned Aerial Vehicles Calibration Pastures Normalized Difference Vegetation Index NDVI |
dc.description.none.fl_txt_mv |
Accurate estimation of herbage mass is crucial for managing pastoral livestock systems. The Normalized Difference Vegetation Index (NDVI) from Unmanned Aerial Vehicle (UAV) sensors shows promise for high-resolution estimations of pasture herbage mass, but it is still unknown how this method differs among forage species, seasons, and pasture management practices. A commercial sensor was calibrated to predict herbage mass using NDVI. Additionally, the effect of different forage species, days of regrowth, and nitrogen (N) status on the relationship between NDVI and herbage mass was evaluated. Two pastures of tall wheatgrass (Thinopyrum ponticum) and tall fescue (Festuca arundinacea), divided into 30 and 72 plots, respectively, were assessed during spring and autumn regrowth over two years in Balcarce, Argentina. Doses of 0, 50, and 100 kg N ha−1 were applied to tall wheatgrass, and 0, 50, 100, 200, 400, and 600 kg N ha−1 were applied to tall fescue to create variability in herbage mass and N status. Exponential regression models of herbage mass (y) fitted against NDVI (x) showed an average R2 of 0.83 ± 0.04 and a mean absolute error of 170 ± 60 kg DM ha−1. The relationship between NDVI and herbage mass differed (p ≤ 0.05) between species, seasons, and regrowth stage, but was not influenced by N status (p > 0.05). Results suggest that accurate predictions of herbage mass using NDVI measurements by an UAV require frequent model recalibrations to account for observed differences among forage species, days of regrowth, and years. EEA Balcarce Fil: Laplacette, Celina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Laplacette, Celina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Berone, Germán Dario. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Berone, Germán Dario. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina Fil: Utsumi, Santiago. New Mexico State University. Department of Animal and Range Sciences; Estados Unidos Fil: Insúa, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Insúa, Juan. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina |
description |
Accurate estimation of herbage mass is crucial for managing pastoral livestock systems. The Normalized Difference Vegetation Index (NDVI) from Unmanned Aerial Vehicle (UAV) sensors shows promise for high-resolution estimations of pasture herbage mass, but it is still unknown how this method differs among forage species, seasons, and pasture management practices. A commercial sensor was calibrated to predict herbage mass using NDVI. Additionally, the effect of different forage species, days of regrowth, and nitrogen (N) status on the relationship between NDVI and herbage mass was evaluated. Two pastures of tall wheatgrass (Thinopyrum ponticum) and tall fescue (Festuca arundinacea), divided into 30 and 72 plots, respectively, were assessed during spring and autumn regrowth over two years in Balcarce, Argentina. Doses of 0, 50, and 100 kg N ha−1 were applied to tall wheatgrass, and 0, 50, 100, 200, 400, and 600 kg N ha−1 were applied to tall fescue to create variability in herbage mass and N status. Exponential regression models of herbage mass (y) fitted against NDVI (x) showed an average R2 of 0.83 ± 0.04 and a mean absolute error of 170 ± 60 kg DM ha−1. The relationship between NDVI and herbage mass differed (p ≤ 0.05) between species, seasons, and regrowth stage, but was not influenced by N status (p > 0.05). Results suggest that accurate predictions of herbage mass using NDVI measurements by an UAV require frequent model recalibrations to account for observed differences among forage species, days of regrowth, and years. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-03-06T13:53:28Z 2025-03-06T13:53:28Z 2025-03 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/21566 https://www.mdpi.com/2077-0472/15/5/492 2077-0472 https://doi.org/10.3390/agriculture15050492 |
url |
http://hdl.handle.net/20.500.12123/21566 https://www.mdpi.com/2077-0472/15/5/492 https://doi.org/10.3390/agriculture15050492 |
identifier_str_mv |
2077-0472 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repograntAgreement/INTA/2019-PE-E1-I007-001, Incremento sostenible de la producción y utilización de pasturas y forrajes conservados |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
Agriculture 15 (5) : 492. (March 2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
collection |
INTA Digital (INTA) |
instname_str |
Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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12.623145 |