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

Author:

Agenjos-Moreno Alba1,Rubio Constanza2ORCID,Uris Antonio2,Simeón Rubén1ORCID,Franch Belén34,Domingo Concha5ORCID,Bautista Alberto San1ORCID

Affiliation:

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

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.

Funder

Generalitat Valenciana

Publisher

MDPI AG

Reference69 articles.

1. Awika, J.M., Piironen, V., and Bean, S. (2011). Major cereal grains production and use around the world. Advances in Cereal Science: Implications to Food Processing and Health Promotion, American Chemical Society.

2. Evaluation of Genetic Diversity in Iranian Rice (Oryza sativa) Cultivars for Resistance to Blast Disease Using Microsatellite (SSR) Markers;Farahzadi;Agric. Res.,2020

3. (2024, January 05). FAOSTAT. Available online: https://www.fao.org/3/y4690s/y4690s05.htm#TopOfPage.

4. Rice production systems and grain quality;Zahra;J. Cereal Sci.,2022

5. El parc natural de l’Albufera. Un paisaje cultural cargado de historia;Ferrando;PH Bol. Inst. Andal. Patrim. Hist.,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3