In the past decade the high-tech industry has been revolutionized by machine learning algorithms applied to everything from self-driving cars to personalized recommendation systems in domains such as healthcare and marketing.
Agriculture is a less familiar research domain among the machine learning community. Nevertheless, this domain offers unique and challenging scientific opportunities related to the spatio-temporal nature of the data, the multi-resolution data sources, the interaction with environmental models.
In this talk, I will introduce The Climate Corporation and how its using Data Science to tackle some of the most challenging problems growers face these days. Furthermore, I will present a few of our ongoing research projects in the fields of agronomy, remote sensing and weather modeling and our philosophy of solving these problems.