Title: Closing Plenary Session sponsored by IPNI
Date: Thu Jul 19, 2018
Time: 11:00 AM - 12:00 PM
Moderator: Steve Phillips
How Would Google Farm?

If Google were to enter farming, it would likely start by finding and amassing all available data – without biases or preconceived notions – and let the data dictate how to make on-farm management decisions.  Google’s self-driving car can see, hear, read, understand, decide, and act – just like human drivers do.  We now also have tremendous data collection capabilities for situational awareness of the crops we are growing.  As Google revolutionizes how we think about mobility, we have the same opportunity to exploit big data in agriculture.  We are learning how to combine the latest advances in precision agriculture and plant genetics with big data and advanced artificial intelligence.  As the world’s population continues to grow rapidly, merging these technologies is critical to maintaining an adequate supply of food and fiber.

J. Alex Thomasson (speaker)
Professor and Endowed Chair of Cotton Engineering, Ginning, and Mechanization
Texas A & M University
College Station, TX 77843
Dr. J. Alex Thomasson is Professor and Endowed Chairholder in Cotton Engineering, Ginning, and Mechanization in Texas A&M University’s Department of Biological and Agricultural Engineering. He is also an adjunct professor at the University of Southern Queensland in Australia. Dr. Thomasson received his bachelor’s degree from Texas Tech University, his master’s degree from Louisiana State University, and his doctor’s degree from University of Kentucky. He has researched remote and proximal sensing – essentially on-farm data collection – for over 30 years. He is a recognized expert in precision agriculture, sensors, data analytics, and agricultural robotics. Dr. Thomasson brings the perspective of one whose teaching and research are focused on improving the productivity, efficiency, profitability, and sustainability of large-scale production agriculture.
Length (approx): 60 min