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 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.

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Publication Details

Journal
Agriculture
Published
2024-08-16
DOI
https://doi.org/10.3390/agriculture14081385
Citations
5
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
1.18

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article

Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data

Antonio Uris, Concha Domingo, A. San Bautista, B. Franch et al.
5 citations
Agriculture
Spectroscopy and Chemometric Analyses
1.18
article

Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data

Antonio Uris, Concha Domingo, A. San Bautista, B. Franch, Constanza Rubio, Alba Agenjos-Moreno, Rubén Simeón
article en
5 citations

Abstract

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.

AgricultureVol. 14(8)
Universitat de València (ES), Instituto Valenciano de Investigaciones Agrarias (ES), Universitat Politècnica de València (ES), University of Maryland, College Park (US)
Generalitat Valenciana
Openalex Percentile: Top 25%
Spectroscopy and Chemometric Analyses
1.18
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Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data — Antonio Uris, Concha Domingo, et al. · Agriculture (2024) | TGRS Research Map | TGRS