Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data
In this paper, we investigated the monitoring and characterization of the pest Magnaporthe oryzae, known as rice blast, in the Bomba rice variety at the Albufera Natural Park, located in Valencia, Spain during the 2022 and 2023 seasons. Using reflectance data from different Sentinel-2 satellite b...
| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.11939/8975 https://www.mdpi.com/2077-0472/14/8/1385 |
| _version_ | 1855032888861392896 |
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| author | Agenjos-Moreno, Alba Rubio, Constanza Uris, Antonio Simeón, Rubén Franch, Belén Domingo, Concha San Bautista, Alberto |
| author_browse | Agenjos-Moreno, Alba Domingo, Concha Franch, Belén Rubio, Constanza San Bautista, Alberto Simeón, Rubén Uris, Antonio |
| author_facet | Agenjos-Moreno, Alba Rubio, Constanza Uris, Antonio Simeón, Rubén Franch, Belén Domingo, Concha San Bautista, Alberto |
| author_sort | Agenjos-Moreno, Alba |
| collection | ReDivia |
| description | In this paper, we investigated the monitoring and characterization of the pest Magnaporthe
oryzae, known as rice blast, in the Bomba rice variety at the Albufera Natural Park, located in Valencia,
Spain during the 2022 and 2023 seasons. Using reflectance data from different Sentinel-2 satellite
bands, various vegetative indices were calculated for each year. Significant differences in reflectance
in the visible (B4), infrared (B8), red-edge (B6 and B7), and SWIR (B11) bands were detected between
healthy and unhealthy fields. Additionally, variations were observed in the vegetation indices, with
RVI and IRECI standing out for their higher accuracy in identifying blast-affected plots compared
to NDVI and NDRE. Early differences in band values, vegetative indices, and spectral signatures
were observed between the unhealthy and healthy plots, allowing for the anticipation of control
treatments, whose effectiveness relies on timely intervention. |
| format | article |
| id | ReDivia8975 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | ReDivia89752025-04-25T14:49:36Z Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data Agenjos-Moreno, Alba Rubio, Constanza Uris, Antonio Simeón, Rubén Franch, Belén Domingo, Concha San Bautista, Alberto Magnaporthe oryzae Vegetative indices N01 Agricultural engineering Remote sensing In this paper, we investigated the monitoring and characterization of the pest Magnaporthe oryzae, known as rice blast, in the Bomba rice variety at the Albufera Natural Park, located in Valencia, Spain during the 2022 and 2023 seasons. Using reflectance data from different Sentinel-2 satellite bands, various vegetative indices were calculated for each year. Significant differences in reflectance in the visible (B4), infrared (B8), red-edge (B6 and B7), and SWIR (B11) bands were detected between healthy and unhealthy fields. Additionally, variations were observed in the vegetation indices, with RVI and IRECI standing out for their higher accuracy in identifying blast-affected plots compared to NDVI and NDRE. Early differences in band values, vegetative indices, and spectral signatures were observed between the unhealthy and healthy plots, allowing for the anticipation of control treatments, whose effectiveness relies on timely intervention. 2024-09-06T11:45:03Z 2024-09-06T11:45:03Z 2024 article publishedVersion Agenjos-Moreno, A., Rubio, C., Uris, A., Simeón, R., Franch, B., Domingo, C., & San Bautista, A. (2024). Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data. Agriculture, 14(8), 1385. 2077-0472 https://hdl.handle.net/20.500.11939/8975 10.3390/agriculture14081385 https://www.mdpi.com/2077-0472/14/8/1385 en This research has been funded by the DETECTORYZA project INNEST/2022/227, INNEST/ 2022/319 and INNEST/2022/361 Regional Operational Programme, FEDER Comunitat Valenciana de la Innovació, Generalitat Valenciana. Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ openAccess MDPI electronico |
| spellingShingle | Magnaporthe oryzae Vegetative indices N01 Agricultural engineering Remote sensing Agenjos-Moreno, Alba Rubio, Constanza Uris, Antonio Simeón, Rubén Franch, Belén Domingo, Concha San Bautista, Alberto Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data |
| title | Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data |
| title_full | Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data |
| title_fullStr | Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data |
| title_full_unstemmed | Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data |
| title_short | Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data |
| title_sort | strategy for monitoring the blast incidence in crops of bomba rice variety using remote sensing data |
| topic | Magnaporthe oryzae Vegetative indices N01 Agricultural engineering Remote sensing |
| url | https://hdl.handle.net/20.500.11939/8975 https://www.mdpi.com/2077-0472/14/8/1385 |
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