Presenting to the agBOT Challenge judges, Elliott Sass and his Purdue teammates looked far from formal. Stains on their pants mapped precisely where they had leaned against their robot as they made final modifications. Though the team was hard at work for months leading up to the event, they made adjustments until the literal last…Read More
To help Hoosier farmers take full advantage of the promising new UAV technology, Purdue Extension hosted a series of demonstrations throughout the state. Participants received hands-on, practical instruction in flight techniques and learned how to download and process the immense amount of data the drones can collect.
The demonstrations were led by Purdue faculty and Extension specialists, as well as Extension educators and staff from Purdue agricultural research centers throughout the state.
While new facilities and technologies have made data collection easier, digital agriculture creates a new challenge: Once you have the data, what can you actually do with it? That data is rich with useful information for research and industry, but extracting the value still requires tedious human labor. The next frontier for smarter agriculture is developing algorithms that automate these processes, automatically analyzing images and aggregating measurements to produce useful output.Read More
Homestead Dairy is a technological leader with thousands of cows, teams of robots, and an overwhelming amount of data. With the advent of digital agriculture, the farm collects data while performing a variety of tasks including milking cows, feeding them, cleaning manure, and even massaging the cows.Read More
Outreach and Education
To reach its full potential, the success of digital agriculture is highly dependent on outreach and education. Through Extension, faculty, partnerships and other digital agriculture advocates, the impact of digital agriculture will grow as new ideas and opportunities spread.
Just as crucial as the collection of data is its analysis and diffusion. Purdue offers undergraduate courses in the areas of data science, geographic information systems (GIS), sensors and sensing, and digital agriculture courses related to specific disciplines.