Agronomy, Volume 14, Issue 11
2024 November - 298 articles
Cover Story: Turfgrass quality measurements are collected in the field and are based on several criteria such as color, density and cover. These measurements are taken by visual raters using a gradient from 1 (low) to 9 (high), but are oftentimes subjective, and they can vary with each rater, the point of observation, time of the day, and other factors. We developed a protocol to utilize imagery from multispectral sensors on-board unmanned aerial vehicles (also known as "drones") to build predictive models of turfgrass quality that are less subject to the drift observed in visual ratings and that include seasonal variability across two years of data collection. We envision that our models can initiate the development of a digital library of predictive models of turfgrass quality that can be used in other landscapes with different ecological characteristics. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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