DAB website

AI for All

We are democratizing
next-gen cyberinfrastructure
to bring cutting-edge AI
to realize the digital agriculture revolution

Map fields autonomously
and continiously

Make better crop
management decisions

State of the art
edge computing

What is
Digital Agriculture?

9 million children suffer from food insecurity. Migrant workers in food production die, on average, 38 years sooner than well-off Americans.
Digital Agriculture uses AI, IoT sensors, edge computing, and agricultural engineering to transform crop and farm management, increasing yield, improving working conditions, and remedying crop health problems quickly and precisely.
What is cyberinfrastructure (CI)? CI includes the software and hardware needed to realize digital agriculture. Unfortunately, CI needed for advanced AI systems could be more cost-effective, limiting its impact. We design, prototype, and deploy accessible and affordable CI for digital agriculture, AI for ALL.

openPASS:Open-Source, Plug-and-Play,
Aerial Crop Scouting for Soybean Fields

OpenPASS is an open-source web and mobile application that allows farmers, in-field operations consultants, agronomy researchers and hobbyists to automatically deploy software-piloted small unmanned aerial systems for rapid aerial scouting of soybean crop health. Our first major CI product, OpenPASS builds upon our recent innovative deep-learning software for characterizing the severity of soybean defoliation in crop fields and represents joint development with ICICLE and the Ohio Soybean Council. Our deep-learning software can accurately characterize severe defoliation from aerial photos and, combined with novel AI software, we can map defoliation levels across a whole field, with high confidence, in minutes to hours.

Unmanned Aerial System

Step 1: You will ship our drones and infrastructure to you. You simply unpack the box, link your smartphone, and start missions.

Map Fields Autonomously

Step 2: Set GPS boundaries and a crop condition of interest, our system will fly autonomously and produce a field map in real time.

Use Data to Manage your Field

Step 3: Use the map to inform pesticide and fertilizer applications. Upload our maps to compatible sprayers.

State of the Art Computing

Step 4: Optionally, send data back to ICICLE. This helps us create more products using access to efficient, high performance computing.

With the Right
Software, Great
Things Can Happen

In addition to OpenPASS, we have a number of open software services that are useful to researchers, practitioners, and developers. Please login for access.

"Dr. Stewart is a co-lead on activities related to digital agriculture in the ICICLE AI Institute. He is an international scholar and has made core contributions in the areas of cloud computing, edge computing, sustainable computing, digital agriculture, and computer architecture."

Dr. Christopher Stewart,
The Ohio State University

"Eduardo is a 5th year PhD student at The Ohio State University. His research has focused on support for interpretable AI models. Eduardo's work includes an approach for minimizing latency on decision tree ensemble models. Recently, he has done some work on using ensemble models to provide interpretation to digital agriculture models that use neural networks."

Eduardo Romero,
The Ohio State University

"Chengyan, a senior undergraduate student at The Ohio State University, has been focused on web development, networking, and 2D game development for the last two years. He designed and developed the draft version of the ICICLE Digital Agriculture webpage and is continuously working on it."

Chengyan Wang,
The Ohio State University

"Currently a 4th year Under graduate at Ohio State University studing Computer Science Engineering with minors in Chinese and Math."

Jackie Cheng,
The Ohio State University

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