Tech at
Climate Corp

Science // Apr 18, 2018

Connecting the Biophysics of Agricultural Systems with the Big Data Revolution

Modeling agricultural systems, such as crop production, from biological, physical and/or chemical principles can be traced back to the 1950s and 1960s. The models used were “process models,” which are mathematical abstractions that explicitly describe a s Read More 

Science // Mar 20, 2018

Climate to the Rescue! Rebuilding the Lost HRRR Weather Model Archive

Shortly after the start of the year, University of Utah Professor John Horel, and PhD student Brian Blaylock, discovered that the Center for High Performance Computing (CHPC) object-storage system, known as Pando, had experienced a system failure. Read More 

Science // Mar 8, 2018

Partnering with Universities to Advance the Oldest and Newest Professions: Agriculture and Technology

Last month we had the great pleasure of opening the Monsanto Innovation Center at the University of Illinois at Urbana-Champaign (UIUC). This partnership drives forward the confluence of agronomic and data science excellence by fostering innovation throug Read More 

Data and Analytics // Feb 28, 2018

Disease ID: How We Scaled Our Deep Learning Model with Distributed Training

At The Climate Corporation, we are applying deep learning to solve problems across various technical and scientific domains. As my colleague Wei describes in his recent post Some Deep Learnings about Applying Deep Learning, one way we are using deep learn Read More 

Engineering // Feb 12, 2018

Hack Attack: Global Participation in our Annual Hackathon

Every January The Climate Corporation conducts a Hackathon competition where teams from across the company come together to work on new ideas for complex, interesting projects and to address existing problems. Read More 

Science // Feb 8, 2018

Some Deep Learnings from Applying Deep Learning

To build a robust deep learning model, it can be much more than training or fine tuning some existing models (e.g. inception v3, resnet, LSTM, etc.) with your own dataset. These winning models are your best friend and can usually serve as base models. Read More 

Engineering // Jan 4, 2018

On the Road to a Billion Acres of Data

What if we could improve sustainability, yields, and profitability via a deep understanding of comparative variability and productivity across agronomic variables and decisions? Read More 

Science // Jan 4, 2018

Cajun Country to FieldView - The Journey of a Geospatial Guru

When I started at The Climate Corporation more than two years ago, I never expected my passion for our mission and the innovation we are building to explode so quickly. Read More