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; Bautista, Alberto San

doi:10.3390/agriculture14081385

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

by

Alba Agenjos-Moreno

^1,†,

Constanza Rubio

^2,*,†

,

Antonio Uris

²,

Rubén Simeón

¹

,

Belén Franch

^3,4,

Concha Domingo

⁵

and

Alberto San Bautista

¹

Department of Plant Production, Universitat Politècnica de València, 46022 Valencia, Spain

²

Physics Technologies Research Centre, Universitat Politècnica de València, 46022 Valencia, Spain

³

Global Change Unit, Image Processing Laboratory, Universitat de València, 46980 Valencia, Spain

⁴

Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA

⁵

Rice Department, Genomic Centre, Instituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315. km 10.7, 46113 Moncada, Spain

^*

Author to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Agriculture 2024, 14(8), 1385; https://doi.org/10.3390/agriculture14081385

Submission received: 12 June 2024 / Revised: 19 July 2024 / Accepted: 14 August 2024 / Published: 16 August 2024

(This article belongs to the Special Issue Smart Agriculture Sensors and Monitoring Systems for Field Detection)

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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.

Keywords: rice; Magnaporthe oryzae; remote sensing; vegetative indices

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MDPI and ACS Style

Agenjos-Moreno, A.; Rubio, C.; Uris, A.; Simeón, R.; Franch, B.; Domingo, C.; Bautista, A.S. Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data. Agriculture 2024, 14, 1385. https://doi.org/10.3390/agriculture14081385

AMA Style

Agenjos-Moreno A, Rubio C, Uris A, Simeón R, Franch B, Domingo C, Bautista AS. Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data. Agriculture. 2024; 14(8):1385. https://doi.org/10.3390/agriculture14081385

Chicago/Turabian Style

Agenjos-Moreno, Alba, Constanza Rubio, Antonio Uris, Rubén Simeón, Belén Franch, Concha Domingo, and Alberto San Bautista. 2024. "Strategy for Monitoring the Blast Incidence in Crops of Bomba Rice Variety Using Remote Sensing Data" Agriculture 14, no. 8: 1385. https://doi.org/10.3390/agriculture14081385

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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

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