Estimation of alfalfa biomass yield using Sentinel-2 imagery
Resumen del trabajo presentado en el Iberian Plant Biology Congress, celebrado en Braga (Portugal), del 9 al 12 de julio de 2023
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2023-07-09
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dig-idab-es-10261-3521432024-03-27T16:10:03Z Estimation of alfalfa biomass yield using Sentinel-2 imagery Segarra, Joel Vatter, Thomas Santesteban, Luis G. Araus, José Luis Aranjuelo, Iker Resumen del trabajo presentado en el Iberian Plant Biology Congress, celebrado en Braga (Portugal), del 9 al 12 de julio de 2023 Alfalfa forage is highly important forage for cattle feeding worldwide. This crop is capable to achieve high biomass yields during many years, due to its persistence to frequent cuttings. The great implications for animal performance require of early pre-harvest estimations for applying practices in real-time. In addition, meteorological conditions and photoperiod have a strong influence in its growth and productivity. The remote sensing techniques have allowed the estimation of crop yields through no-invasive and rapid evaluations. Thus, the main objective of this study is to develop mathematical models for predicting biomass yield of 64 fields of alfalfa located in Navarre (Spain) at three phenological stages (mid vegetative, mid-veg; late vegetative, late-veg and early bloom). For that, during two years (2020 and 2021), number of cuttings throughout the years, meteorological data and statistical values (mean and median) of vegetation indices (VIs) calculated from Sentinel-2 satellite images were considered as predictors; then, multilinear regressions (MLR) were developed to estimate biomass yield and finally the most suitable model was applied in validation set. The models generated achieved an R2 of 32%, 57% and 70%, along to a nRMSE of 0.27, 0.17 and 0.13 for mid-veg, late-veg and early bloom, respectively. The number of cuttings and meteorological variables were identified as important predictors into the models, because the seasonal changes of photoperiod and temperature can modify the alfalfa growth. In addition, indices related to biomass, soil cover and water content were the better selected predictors for mid-veg, late-veg and early bloom, respectively. Prediction models for biomass yield developed in the current work could be relevant for agricultures and decision makers for to optimize the managements practices in field with considerable time before the cutting period. 2024-03-27T16:10:02Z 2024-03-27T16:10:02Z 2023-07-09 2024-03-27T16:10:02Z póster de congreso isbn: 978-989-33-4917-12 Iberian Plant Biology Congress (2023) http://hdl.handle.net/10261/352143 Postprint Sí open |
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Biblioteca del IDAB España |
| description |
Resumen del trabajo presentado en el Iberian Plant Biology Congress, celebrado en Braga (Portugal), del 9 al 12 de julio de 2023 |
| format |
póster de congreso |
| author |
Segarra, Joel Vatter, Thomas Santesteban, Luis G. Araus, José Luis Aranjuelo, Iker |
| spellingShingle |
Segarra, Joel Vatter, Thomas Santesteban, Luis G. Araus, José Luis Aranjuelo, Iker Estimation of alfalfa biomass yield using Sentinel-2 imagery |
| author_facet |
Segarra, Joel Vatter, Thomas Santesteban, Luis G. Araus, José Luis Aranjuelo, Iker |
| author_sort |
Segarra, Joel |
| title |
Estimation of alfalfa biomass yield using Sentinel-2 imagery |
| title_short |
Estimation of alfalfa biomass yield using Sentinel-2 imagery |
| title_full |
Estimation of alfalfa biomass yield using Sentinel-2 imagery |
| title_fullStr |
Estimation of alfalfa biomass yield using Sentinel-2 imagery |
| title_full_unstemmed |
Estimation of alfalfa biomass yield using Sentinel-2 imagery |
| title_sort |
estimation of alfalfa biomass yield using sentinel-2 imagery |
| publishDate |
2023-07-09 |
| url |
http://hdl.handle.net/10261/352143 |
| work_keys_str_mv |
AT segarrajoel estimationofalfalfabiomassyieldusingsentinel2imagery AT vatterthomas estimationofalfalfabiomassyieldusingsentinel2imagery AT santestebanluisg estimationofalfalfabiomassyieldusingsentinel2imagery AT arausjoseluis estimationofalfalfabiomassyieldusingsentinel2imagery AT aranjueloiker estimationofalfalfabiomassyieldusingsentinel2imagery |
| _version_ |
1794796706204745728 |