Heat Units: a python tutorial
Channel: OATS Center
Date: 31/07/2020

In this presentation, Andrew Balmos of the Purdue University Open Ag Technologies and Systems (OATS) Center looks at using growing degree days (also known as heat units) to predict field state of crops like corn from nothing but public weather data. Knowing the current, and predicting the future state, is an essential tool for planing farm operations and ensuring smooth year-round logistics. The work is presented as a Python tutorial using a Jupyter Notebook and everything can easily be run on your own machine using the mybinder.org service. Please follow along as you watch!

MyBinder link: https://mybinder.org/v2/gh/OATS-Group/notebooks/master?filepath=Pandas%20%2B%20matplotlib%20basics%20and%20GDU%20%2B%20ACIS%20PRISM.ipynb

This talk was delivered remotely to the Mid-Year AgGateway Meeting on July 8, 2020.