Precision agriculture uses computer vision and machine learning techniques to analyze agricultural data, much of which comes from images, in order to improve farming practices. The speaker advocates applying these methods to make farming more precise and effective. He provides his contact information for those interested in learning more about these applications of data science and machine learning to agriculture.

1. Precision Agriculture!
Matt Phillips @ PyData Q3 2018

2. (Some) agricultural data is low-dimensional

3. And much of it is imagistic in nature

4. So let’s use CV and ML to make farming better
● Hit me up:
○ matt.phillips@kitware.com
○ LinkedIn: https://www.linkedin.com/in/mattphillipsneuroscience
● Swing by the AgBio Meetup:
○ https://www.meetup.com/RTP-Agriculture-Bio-Tech/