Data Driven Decisions for Optimal Performance in Precision Agriculture Applications
Our team utilizes statistical principles and data analytics tools to monitor, investigate, and optimize the performance of precision machineries in agriculture. Through real-time monitoring and predictive analytics, we provide valuable insights that enable farmers to make informed decisions.
As part of the broader initiatives led by Dr. Ajay Sharda at the FARMS Lab, our research activities focus on optimizing agricultural practices to enhance crop yields and maximize resource efficiency. Currently, I am leading two key projects:
My first summer in Manhattan, KS
Sprayer in action at our experimental site Clay Center, KS