Effect of hailstorm on Arabica coffee varieties by means of vegetation indices

Authors

DOI:

https://doi.org/10.30612/agrarian.v14i54.13940

Keywords:

Remote Sensing., Precision Agriculture., NDVI.

Abstract

Data obtained by Remote Sensing can help in the monitoring, identification and mapping of crop-related characteristics, mainly through vegetation indexes (IV). In this sense, this study aimed to evaluate variety indexes in the Arabica coffee varieties Mundo Novo and Catuaí, before and after the hailstorm. The stories occurred in January 2019 on the dates before and after the occurrence of the phenomenon using the NDVI and NDRE vegetation indices. The data from the IVs were analyzed using descriptive statistical analysis and spatial analysis using thematic maps on the evaluated dates. He found that the vegetation indexes were higher after hail transformation, demonstrating that they were not able to detect defoliation, probably due to phytosanitary treatment applied in sequence to hail rain. The NDRE index is more sensitive than the NDVI to capture variations in IVs in Arabica coffee varieties.

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Author Biographies

Sonia Armbrust Rodrigues, Egressa da Universidade Federal da Grande Dourados (UFGD)

Eng. Agra. Dra. Egressa da Universidade Federal da Grande Dourados (UFGD)

Jorge Wilson Cortez, Universidade Federal da Grande Dourados (UFGD)

Prof. Dr. da Universidade Federal da Grande Dourados (UFGD)

Hermano Jose Ribeiro Henriques, Egresso da Universidade Federal da Grande Dourados (UFGD)

Eng. Agr., Dr., Egresso da Universidade Federal da Grande Dourados (UFGD)

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Published

2021-12-15

How to Cite

Rodrigues, S. A., Cortez, J. W., & Henriques, H. J. R. (2021). Effect of hailstorm on Arabica coffee varieties by means of vegetation indices. Agrarian Journal, 14(54), 433–441. https://doi.org/10.30612/agrarian.v14i54.13940

Issue

Vol. 14 No. 54 (2021)

Section

Article - Agricultural Engineering

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Copyright (c) 2022 Sonia Armbrust Rodrigues, Jorge Wilson Cortez, Hermano Jose Ribeiro Henriques

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