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\begin{document}

\title{The Relationship of Chlorophyll Concentration and Canopy Greenness with
Maize Yield}



\author[1]{Iha Singh}%
\author[1]{Isabella Sepanak}%
\author[1]{Addie Thompson}%
\affil[1]{Affiliation not available}%


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  \date{May 25, 2024}


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\begin{abstract}
Maximizing crop yield is a central goal in agriculture and plant
breeding. Several phenotypic traits, including leaf chlorophyll content
and canopy greenness, can help predict yield across different varieties.
In this study, we aimed to quantify the relationship between leaf
chlorophyll concentration, canopy greenness, and crop yield within the
Genomes to Fields trials. Our goal was to assess the correlation and
enhance predictive modeling between these factors, evaluating the
effectiveness of canopy cover and spectral reflectance in predicting
yield. We accomplished this by collecting chlorophyll data from multiple
leaves within each field plot and utilizing imagery captured by
unoccupied aerial systems. This image data provided RGB and
multispectral reflectance information on a per-plot basis throughout the
growing season, allowing us to model patterns linking chlorophyll
concentration and yield for each plot. We integrated data from these two
methods with genotypic data from the same maize varieties to explore the
fundamental relationships between chlorophyll levels, canopy greenness,
and crop yield.%
\end{abstract}%



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\emph{\textbf{Iha Singh\textsuperscript{1} , Isabella
Sepanak\textsuperscript{2},} Addie M. Thompson\textsuperscript{3,4}}

\emph{\textsuperscript{1}Human Biology, College of Natural Science,
Michigan State University, East Lansing, MI, USA}

\emph{\textsuperscript{2}Plant Biology, College of Natural Science,
Michigan State University, East Lansing, MI, USA}

\emph{\textsuperscript{3}Department of Plant, Soil \& Microbial
Sciences, College of Agriculture and Natural Resources, Michigan State
University, East Lansing, MI, USA}

\emph{\textsuperscript{4}Plant Resilience Institute, Michigan State
University, East Lansing, MI, USA}

\textbf{ORCiD: 0009-0000-1643-3159}

\textbf{0009-0004-2315-0199}

\textbf{0000-0002-4442-6578}

\textbf{Keywords:} Chlorophyll concentration, maize yield, drone/UAS,
multispectral and RGB imagery, canopy greenness, crop yield prediction,
Genomes to Fields

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