Over the past decade, big data, machine learning and artificial intelligence have become some of the biggest buzzwords in the tech industry. These same technologies are making big advances in the agriculture industry.
Just a year ago, Jennifer Hobbs joined a farmer who was observing his field from the top of a silo. “This is how he scouted his field and optimized his management decisions,” the director of machine learning at Intelinair told the group of women gathered for the Women in Agribusiness Summit. “That was before he got AgMRI.”
Since then, Hobbs and her team have presented high-resolution aerial imagery, machine learning and computer vision to detect patterns of interest across the fields and deliver alerts to farmers, so that they can see issues before they are a problem. The system is known as the ag intelligence platform AgMRI.
Farmers can see the status of fields at a glance, and then identify fields that have issues with weeds, water, weather fertility and many other problems. Intelinair collects data from satellite planes and drones multiple times over the course of the season.