Agrology has introduced a predictive agricultural system that predicts and addresses a variety of critical farming challenges.

Agrology’s patented system includes hypersignal sensors that capture the full spectrum of agronomic data, machine learning (AI) technology and actionable insights via an Agrology mobile app.

The Agrology system monitors and aims to predict problems before they occur and includes data on nano-climates, regions, soil types and weather patterns. From their mobile devices, growers have access to data on air quality including fine particles, air temperature, humidity and the VOCs that cause smoke taint. The system also provides ground truth data on soil matric potential, soil moisture, soil conductivity, soil temperature and actual irrigation events.

The sensors can be installed in less than 15 minutes and users always have access to their data through the app, even when their phone is off network in a field. In addition, data refreshes every 30 minutes and Agrology models curate intuitive and easy to implement alerts and insights that are sent directly to the mobile app. Agrology customers own and control their data.

“Farmers are facing new challenges and data is the path to surviving and thriving,” said Adam Koeppel, CEO of Agrology. “We developed Agrology to help farmers pre-emptively mitigate risks. Ultimately we want to partner with farmers to deliver the predictive insights that will ensure economic viability of farming for generations to come.”

The Agrology system is currently in use in 500 acres in northern California.

A public benefit corporation founded in 2019, Agrology’s strategic partners include The National Science Foundation, UC Davis College of Agriculture and Environmental Sciences, and Virginia Tech College of Agriculture and Life Sciences. Agrology has offices in Alexandria, Virginia, and Sonoma, California.