Digital Ag Data Solutions🌾

Helping agricultural producers strategically leverage AI on their operation. Turn chaotic information into bankable insights using systemic data organization.

[Digital Ag Data Solutions🌾 @DigitalAgData]

The agricultural technology sector is pulling a multi-million dollar optical illusion on producers.

Every day, you read headlines about how AI agents, autonomous fleets, and predictive data models are going to optimize your cash crop operation to the absolute penny.

Yet, when you actually try to use these tools they hallucinate, throw errors, or require endless manual data manipulation.

How can both be true?

A brutal reality thread on why your farm's data is currently useless to AI—and some thoughts on how to fix it. 👇 (1/9)

[Digital Ag Data Solutions🌾 @DigitalAgData]

@FoulkShay Great take, Shay.

There's a lot of context baked into what it takes to put a crop in the ground - an agronomic truck scout and comparison only scratches the surface of the materially important variables.

[Digital Ag Data Solutions🌾 @DigitalAgData]

But - you can't manage what you don't measure, and if measuring is full of friction, that comparison becomes difficult and you'll likely fall back into the unhealthy habits of peering and comparing over the fence.

Collect your own data, safeguard it, and leverage it to improve.

[Digital Ag Data Solutions🌾 @DigitalAgData]

This is an important perspective to take and an extremely healthy one for ag producers, both from a mental health and a business health perspective.

Every year you should be in a competition with yourself and only yourself as your context is different than your neighbours'.

[Shay Foulk @FoulkShay]

Just remember when you look at the neighbors field:

You don’t know what price they marketed it at

You don’t know their cost of production

You don’t know what their debt repayment schedule looks like

You don’t know what demons they are battling with internally

Run your race. Be profitable for yourself. Be thankful for what you have.

[Digital Ag Data Solutions🌾 @DigitalAgData]

@bendee983 I don't fully disagree but also don't discount the opportunity that the regular Joe has in being able to learn significant coding and software skills through "vibe coding" sessions.

That knowledge hurdle bw an experienced dev and a newbie is getting smaller to jump over.

[Digital Ag Data Solutions🌾 @DigitalAgData]

@farmerjim79 It's SaaS and technology/software sales that these equipment manufacturers are eyeing as key future revenue, with new equipment sales dropping off with increases to efficiency and consolidation of farms. That, and parts/service = $$$

Farmers gotta realize their own datas' value

[Digital Ag Data Solutions🌾 @DigitalAgData]

@zeefarmer Fingers crossed you won't have to worry about it for too long if you've already sprayed it, and if you haven't yet then hopefully this helps inform some of the potential risks involved if you decide to!

https://t.co/EGNvRrTlKQ

[Digital Ag Data Solutions🌾 @DigitalAgData]

@atmoio I think you're focusing on the wrong thing here. I think that's a huge positive for AI: it's going to be way more impactful for the small to medium-sized businesses.

These large corporations that give unfettered access to these tools are definitely wasting resources.

[Digital Ag Data Solutions🌾 @DigitalAgData]

@Haywire_45 No problem! Hopefully it helps to cut down on your repair time!

[Digital Ag Data Solutions🌾 @DigitalAgData]

@Haywire_45 https://t.co/1vEnfxEkQX

[Digital Ag Data Solutions🌾 @DigitalAgData]

@Haywire_45 I know you mentioned the pin was seized, but hopefully this helps get you on somewhat of the right track

[Digital Ag Data Solutions🌾 @DigitalAgData]

@SolickSeeds How do you like your @UlefoneMobile phone? Saw the watermark in the corner and did some research on it - curious if you have found much use for the FLIR or enhanced night vision cameras?

They sure look neat!

[Digital Ag Data Solutions🌾 @DigitalAgData]

@BantrySeedFarms @grok Haha AI will always hedge it's bets. But nice to know the "standard" so you have a baseline to assess how hard you're trying to push the limits.

Not perfect, but a starting point!

[Digital Ag Data Solutions🌾 @DigitalAgData]

@BantrySeedFarms @grok what is your opinion on both the optimal - as well as the upper bound of "acceptable" - for spray conditions in Southern Alberta? Specifically as it relates to wind speed.

[Digital Ag Data Solutions🌾 @DigitalAgData]

Unmodified AI systems will always default to the "safe" answer - and you can't blame them! AI companies don't want to open themselves up to more potential litigation.

But is that what you want out of your AI tool? How have you pushed the limits in your interactions?

[Grok @grok]

Optimal wind for spraying in Southern Alberta: 8-15 km/h. Enough steady breeze to avoid inversions and aid dispersion without major drift.

Upper acceptable bound: Generally 18-20 km/h if the product label allows, using low-drift nozzles, proper boom height, and favorable direction. Many prairie guides flag caution above 15 km/h.

Always follow the specific label (it's the law), measure at boom height, check for inversions, and keep wind away from sensitive areas. In those prairie gusts that knock folks over, waiting or upgrading tech usually beats pushing limits.

[Digital Ag Data Solutions🌾 @DigitalAgData]

@DigitalAgData I have not

[Digital Ag Data Solutions🌾 @DigitalAgData]

@Garrett_Ruskamp Many producers forget this fact - all of the work spent on the business, making it a highly successful going-concern is all for naught if you don't prioritize your family.

And in a similar vein - if producers are isolationist with their operation, their community is at risk, too

[Digital Ag Data Solutions🌾 @DigitalAgData]

@DoubleBarDFarms I'm curious, Mark - how many stations do you have? Do you feed the data from these stations into any other programs on your operation?

[Digital Ag Data Solutions🌾 @DigitalAgData]

@kowalchukfarms1 Looking great, John! Could've fooled me that the between the rows was an accident!

[Digital Ag Data Solutions🌾 @DigitalAgData]

Seeding, Spraying, Harvesting - they are all field activities that a producer engages in on an annual basis. But the time in-between each iteration is often so long that, without a system, we often lose confidence in what we're doing while we are busy with the task at hand.

Seeding: depths, dates, and placement etc...

Spraying: water rates, tank mixes, and environmental conditions, etc...

Harvest: combine settings, ground speed, moisture content, etc...

Identify the key variables in the decision, formalize a process to collect those variables, and then use AI as a sounding board. Input from producers at-large is beneficial, but no information is better for your operation, than the data that was produced on your ground.

Removing the friction, and increasing context from these future decisions is just one of the many ways that a modern producer can incorporate AI tools into their operation.

[Bantry @BantrySeedFarms]

This weather needs to smarten up. Let’s have a serious discussion. What’s the most wind speed you’ll spray in comfortably. I myself try to keep it under 18 km winds. This year tho I’m not sure if we will be able to pick and choose with the weather network. Serious question. What’s the most wind speed you’ll go in ? #Agtwitter @nozzle_guy @LowBoomLowDrift

[Digital Ag Data Solutions🌾 @DigitalAgData]

@BantrySeedFarms Wind knocking guys off their feet is peak prairie farming in 2026 🤣

Curious if you asked any AI tools and what their response was? I've seen varied responses.

[Digital Ag Data Solutions🌾 @DigitalAgData]

Stop buying the "flash-in-the-pan" tools waving the new shiny thing. Stop letting software providers hold your legacy metrics hostage.

Focus on finding the architectural foundation that allows you to build a system you leverage—not one that leverages you.

The modern farm yard is digital. If you don't pour the structural concrete foundation first, the entire shop floor will crack the second you park a heavy asset on it.

But we want to hear from you - what are the biggest hurdles to you and your operation adopting AI? What's your biggest data gap. 👇 (9/9)

[Digital Ag Data Solutions🌾 @DigitalAgData]

The agricultural technology sector is pulling a multi-million dollar optical illusion on producers.

Every day, you read headlines about how AI agents, autonomous fleets, and predictive data models are going to optimize your cash crop operation to the absolute penny.

Yet, when you actually try to use these tools they hallucinate, throw errors, or require endless manual data manipulation.

How can both be true?

A brutal reality thread on why your farm's data is currently useless to AI—and some thoughts on how to fix it. 👇 (1/9)

[Digital Ag Data Solutions🌾 @DigitalAgData]

When you force your farmyard into a flat, metadata-driven architecture, everything changes.

An automated cloud script tracks your central inbox. A hired hand snapshots a crumpled parts receipt in the shop. The background API reads it, calculates confidence scores, automatically updates your Master Spreadsheet Ledger, and isolates sensitive financial records from shared team folders.

Automating and digitizing previous manual workflows ensures that the mountain of data you come across as an agricultural producer is captured, organized, and ready to be leveraged by you, your team, and the AI tools you look to employ.

Suddenly, your AI isn't guessing anymore. It has perfect operational context. (8/9)