Precision maize stand analysis using remote sensing methods: plant density measurement with spectral data integration

Abstract

The aim of this study was to use remote sensing with a drone equipped with a multispectral camera to take a stand survey of maize after the phenological stage of emergence, and to count the number of emerged plants and determine its accuracy. Our investigations were carried out at the University of Debrecen, Látókép Production Experimental Station in a sowing date long-term experiment. In the 2024 growing season, Sowing Date I was on 4 April and Sowing Date II on 12 April. The same maize hybrids with 8-8 different genotypes were used for each sowing date. There is a strong correlation between number of plants/plot and number of plants/rowx2 for the two plant density measurements presented in this paper, with an r value of 0.977*** (p

Code and data availability

The paper describes UAV multispectral maize stand counting using WebODM and QGIS, but provides no public dataset, imagery, or author code repository. The Data Availability Statement states all data are contained within the article itself, and the only URLs present are generic software tools, the CC BY license, and FAO/

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