No. 2 (2022)

Articles

Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods

Published:

2022-12-06

https://doi.org/10.34101/actaagrar/2/10367

Authors

László Radócz,

Hungarian

Levente Sápi,

Hungarian Chamber of Phytosanitary Engineers and Phytomedicines, Hajdú-Bihar County Regional Organisation

Péter Zagyi,

University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology

Éva Horváth,

University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology

András Tamás

University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management, Institute of Land Use, Engineering and Precision Farming Technology

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Keywords

remote sensing disease maize ustilago maydis vegetation indices

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Copyright (c) 2022 by the Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Radócz, L., Sápi, L., Zagyi, P., Horváth, Éva, & Tamás, A. (2022). Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods. Acta Agraria Debreceniensis, 2, 31-35. https://doi.org/10.34101/actaagrar/2/10367

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Received 2021-11-26
Accepted 2022-10-03
Published 2022-12-06

Abstract

In Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.

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