About

Main Event

LionHogTech began as a collaboration between the MSSU CRIC Club (Cognitive Robotics and IoT Consortium) at Missouri Southern State University and the Smart Agricultural and Food Engineering Lab at the University of Arkansas. This year it grew into a cross-state event, organized by the University of Arkansas Biological and Agricultural Engineering department and co-organized by MSSU, bringing together high school and undergraduate students from Arkansas and Missouri around AI, agriculture, data science, and innovation.

For 2026, LionHogTech joined forces with the AI in Agriculture Symposium, organized by the Center for Agricultural Data Analytics, Division of Agriculture, University of Arkansas. Teams worked with mentors on a real-world dataset provided by Bayer, and the top three teams went on to present their work at the symposium.

How It Worked

September 18–20 · Online

Kickoff: Bayer dataset released Friday night

Teams build virtually with mentors Friday – Sunday

Teams present to the judges Sunday afternoon

September 21 · Fayetteville, AR

Top 3 teams present at the AI in Agriculture Symposium Don Tyson Center for Agricultural Sciences

Judging criteria: presentation, data visualization, and interpretation of results.

Winners

1st place: Millet Minds

Aryan Buchireddy - Haas Hall Bentonville, Bentonville, AR
Samhitha Buchireddy - Veterans Memorial High School, Corpus Christi, TX

2nd place: FieldWise

Suhruth Akuthota - Bentonville West High School, Centerton, AR
Joel Johnson - Bentonville West High School, Centerton, AR
Vishwaksen Paramkusham - Bentonville West High School, Centerton, AR

3rd place: Tokens

Yeshwanth Mathavan - Bentonville West High School, Centerton, AR
Harsimran Gill - Bentonville West High School, Centerton, AR

Congratulations to our winning teams, and thank you to every student who took part for the energy, creativity, and effort you brought.

AI in Agriculture Symposium

2nd Annual AI in Agriculture Symposium

September 21, 2026 · Don Tyson Center for Agricultural Sciences, Fayetteville, AR

Our three winning teams took the stage and presented their solutions to researchers, educators, and industry leaders, alongside the top teams from the AI in Ag Hackathon for graduate and senior undergraduate students.

Applied AI in Agriculture

Speakers from Arkansas, Nebraska, Arizona, and Georgia, from academia and industry

Topics included robotics that inspect and sort in real time, computer vision for plant architecture, and satellite remote sensing that helps farmers make decisions.

Organized By

Center for Agricultural Data Analytics, Division of Agriculture, University of Arkansas

With the Arkansas Agricultural Experiment Station.

Judges

Thank you to our judges for listening to our students present, asking thoughtful questions, and evaluating their work on presentation, data visualization, and interpretation of results.

Organizers & Mentors

Dr. Dongyi Wang - Organizer, University of Arkansas Biological and Agricultural Engineering
Dr. Swarna Sethu - Co-organizer, MSSU CRIC Club, Missouri Southern State University
Masha Trenhaile - Mentor

Data Partner

BAYER Crop Science

Platinum Sponsor

In-Kind Sponsors

NSF National Science Foundation

LionHogTech