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\begin{document}

\title{Purdue ABE's New Plant Sensor Technologies for Improved Crop Phenotyping
Quality}



\author[1]{Jian Jin}%
\affil[1]{Affiliation not available}%


\vspace{-1em}



  
  \date{June 15, 2024}


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\begin{abstract}
Plant phenotyping technologies have been developing rapidly over the
last 2 decades. Plant sensors are becoming more accurate, faster, and
easier to use. However, there are still bottleneck issues in plant
sensing, including the changing environmental conditions, the plant's
diurnal activities, and the
complicated~Genotype-by-Treatment-by-Environment~interactions. These
issues keep plant phenotyping difficult and limit further application of
the sensor technologies in precision agriculture. The Purdue Ag
Engineers have been working innovatively to develop the next generation
sensor technologies~to address these issues. In this presentation, Dr.
Jin will firstly introduce the four automatic high-throughput
phenotyping facilities recently developed at Purdue and explain why they
were built and how they've been successfully used in detecting diseases,
nutrients deficiencies, and chemical damages. He will then introduce
ABE's most recent plant sensor technologies, including the 2021 Davidson
Prize winner, LeafSpec, and the new drone and ground-based robots for
automatic field phenotyping in different scenarios. Dr. Jin will also
briefly share some discovery stories in plant phenotyping, such as how
the crop images diurnal variances, and how to leverage the advantages of
remote sensing and proximal sensing.~%
\end{abstract}%



\sloppy


\emph{\textbf{Jian Jin\textsuperscript{\emph{1}}}, Purdue University,
West Lafayette, USA}

\textbf{ORCiD:} 0000-0003-4188-1951

\textbf{Keywords:} Phenotyping facilities, Proximal Sensors, LeafSpec,
PhenoBee, Field Scouting

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