Hey there! I’m Fengkai Tian, currently a Ph.D. student at the University of Missouri in Biological Engineering 
. My world is all about digital & precision agriculture 
, combining drones data
, environmental data 
, and various algorithms 
to make crops grow “smarter”.
I also got my B.S. in Statistics and Mathematics & M.S. in Data Science at Mizzou, specializing in High Performance Computing – so, yes, writing a good story using different datasets with the goal of finding interesting things is pretty much a daily part of my job 
. My daily toolkit? Keywords: Statistical learning, AI, plant science, big data and remote sensing magic 
.
At the PAAL lab, I’m the “drone guy” 
, flying DJI and Freefly drones to collect and analyze everything with hyperspectral, RGB, thermal, lidar, and multispectral data. I also work with my crew to design research projects that advance precision agriculture 
. Along the way, I’ve published several papers in Q1 & Q2 journals, including but not limited to precision ag & plant phenotyping
.
When I’m not at work or in the field, you’ll probably find me geeking out over robotics , diving into real-time video applications with deep learning 
, or exploring IoT and edge computing 
. I’m actively involved in these projects, and I love pushing the boundaries of what’s possible. I also run a digital agricultural information research platform 
in Chinese, where I share insights with over 10k subscribers.
To expand my understanding of different crops, I’m constantly learning about agriculture and even grow a variety of fruits and vegetables myself 
. Whether it’s technology, data, or a new crop, I’m always up for a chat – especially over a good cup of coffee 
!
For more information:【Google Scholar】 【LinkedIn】 【X】 【GitHub】
Email: tianf@missouri.edu