Digital Agriculture

Digital Agriculture

Using data, science, and innovation to advance agriculture’s future

What is digital agriculture?

What is digital agriculture?

It’s the use of digital devices to gather, process and analyze spatial (object) or temporal (time) data. This data can then guide targeted actions to improve agricultural efficiency, productivity and sustainability.

It’s the use of digital devices to gather, process and analyze spatial (object) or temporal (time) data. This data can then guide targeted actions to improve agricultural efficiency, productivity and sustainability.

Purdue partnering on 5G research to improve ag automation

Purdue University scientists are collaborating with colleagues at North Carolina State University and others on fifth-generation (5G) and beyond wireless network research that holds promise for improved farm machinery automation.

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Local sunshine meets local needs with global impact; key is cogenerating electricity alongside farming

A team of engineers, agronomists and economists at Purdue University’s Center for Sustainable Food, Energy and Water Systems are developing novel photovoltaic module designs for use on agricultural land to cogenerate electricity.

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Want to keep a cow happy? AI, robotics could hold the answer

Even cows have emotions and a happy cow is a better milk producer than one under stress. But how do dairy farmers read an individual bovine animal not known for its facial expression amongst a herd of up to 10,000?

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The latest buzz around digital agriculture

“It wasn’t until a family friend took me beekeeping that I got hooked,” recalled Brock Harpur, assistant professor of entomology. “It happened as soon as I put on the suit, opened up the colony and saw the life inside. It’s pretty remarkable what you can see inside of a honey bee colony as a scientist.”…

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Digital agriculture: Why the future is now

How is digital agriculture going to change the landscape of farming over the next decade?

It depends on who you ask.

Many see digital agriculture as the future of the industry. At Purdue University’s College of Agriculture, however, the future is unfolding now, in different patterns and paces across campus.

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Champions Cultivate the Future

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…

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Director of Agricultural Data Services begins connecting the dots

Barely moved into his new working area, Aaron Walz is already working to bridge gaps between data collection and data use at Purdue. Eager to begin in his new role, Walz has unpacked little more than the essentials: a computer, digital photo frame and his guitar. “We currently have a professor who is working on…

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Speed of data collection takes flight with drones

Digital agriculture developments allow UAVs to collect a new level of data using advanced sensors. Technology opens up grand new possibilities of scale for plant science, transferring what once was slow, inefficient research by humans into rapid collection of vast quantities of data by unmanned vehicles, robotic systems, and sensors embedded in the field.

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Purdue Extension helping Indiana farmers reach new heights with UAV demonstrations

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.

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Digital agriculture improves data yield, yet increases the need for analytics and algorithms

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.

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