FarmMind

Ethan Fitzgerald spent his summer with FarmMind working on user interface and user experience. He is a computer science major at LSU with a minor in digital media, arts and engineering technology, concentrating in software engineering.

He came in for an internship and is staying on part time while he finishes his degree.

His take after a summer with FarmMind: you see how much math, chemistry, and planning it takes for a farmer to get a crop grown.

Learn more at farmmind.org

"It takes the paper that's on my dashboard and takes it and puts it in a system of record"

Heath's been using FarmMind this season. His favorite part, after the AI system, is how the paper that used to ride on his dashboard of his truck now goes into one system, building a record of his annual crops as he works.

Every note saved where you can find it next season.

See how it works at farmmind.org and Happy Farming!

This summer, Jack Schliewe built one of the most exciting features FarmMind has released during his internship.

Jack Schliewe is a senior at LSU studying computer science and cybersecurity. He joined us after a conversation with our founders about language barriers on farm crews, and he spent the summer shipping two things: Live Voice Translation for real-time conversations, and on-device speech-to-text with downloadable language packs, so transcription and translation keep working where there's no signal.

The clip shows why it matters. A sugarcane crew member explains the planting process in Spanish, and the conversation crosses the language line without waiting on a bilingual go-between.

The internship is over, but Jack isn't leaving. He's staying on the team through the fall semester while he finishes his degree in at LSU.

Thanks for a summer of fun productivity, Jack.

Have a great senior year and happy learning & farming!

If you ask a general chatbot about a pesticide and you will get an answer but it will not get whether you are allowed to spray it next week.

Aaron Beatty is a crop consultant on our team. We asked him the most unexpected thing he has seen FarmMind's research assistant do. His answer was not a map or a report. It was a cutoff date.

He asked about a chemistry, and the assistant came back with the restriction: you can't spray this product past this date. That information lives on EPA labels, in state exemptions, and in extension bulletins, and a consultant is expected to carry all of it in his head across every product he touches in a season.

The assistant brings that label context into the conversation and cites the source, so you can open the document and read before you make the call.

Happy Farming!

Ag professionals make 10+ decisions a day, and every one of them matters.

When to spray. When to plant. When to harvest. When to apply ripener if you're
growing sugar cane. Enough bad calls in a row and you're not just having a rough
year, you're deciding whether to sell the farm.

Colin breaks down why FarmMind exists: help you make those decisions ideal, and
give you back the time to focus on making them well.

From Colin's appearance on The American Prosperity Podcast.
See how it works at farmmind.org

Bad wheel and a coolant problem on the number one CASE tractor? Say it once and it's documented.

You tell FarmMind to make a note on that tractor, it creates the field note on the right asset, and you attach a picture of each problem. When the boss reviews it, there's no question about what's going wrong and what needs to happen.
No phone calls and everything's documented.

Learn more at farmmind.org

S***t, Supper, and Software | Port Allen, Monday, August 24

We're inviting growers across West Baton Rouge and surrounding areas to join us at Bridgeview Gun Club for an afternoon of shooting s***t, networking with growers, consultants, and the FarmMind team.

4:00 PM — S***t shooting

5:45 PM — Dinner and Workshop

We'll walk through what we've been building and how the platform can help you this harvest season: maps, field history, AI, and asset tracking in one session, so you can maximize your yield and minimize losses. You can also ask any question about FarmMind and how it can help you and your operation.

1365 Northwest Dr, Port Allen, LA

Food and drinks provided. RSVP in the linktree in our bio.

We at FarmMind extend a huge Thank You to Heath Morris and Bridgeview Gun Club for hosting us and all the support and feedback you have given us!

Want FarmMind to hold a workshop in your area? Email us at [email protected] or book a meeting with us at the link in our linktree.

Pattern recognition explains why strangers predict identically. Ask a room to complete "the man, the myth, the..." and nearly everyone says "legend."

They never coordinated. Their prior experience with that "data" trained them to respond the same way.

AI works on the same principle. Feed it that prompt and it returns "legend" every time, running pattern mathematics on statistical likelihood.

Agricultural communicators operate this way too. Farmers recognize patterns in messaging, market signals, and weather. They predict outcomes based on historical context. Both humans and AI use the same fundamental mechanism: recognizing patterns from context to predict what comes next.

Context + patterns = predictable outputs

Successful communication requires recognizing the patterns that already exist and providing the context your audience needs to act on them.

Last week, the American Farm Bureau brought nearly 400 staff members from across the country to New Orleans for the 2026 Staff Institute, with sessions focused on AI and ag communication in the intelligence age.

Grateful for the opportunity to be part of it and to be in the room with so many great people in agriculture.

As AI becomes more embedded in agriculture, the communicators who win will be those who understand this: farmers aren't adopting new thinking. They're recognizing their own logic reflected back at scale.