Devan Lewis

123 posts

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Devan Lewis

Devan Lewis

@devanlewis

Prairie grain farming + practical ag decision-making + building useful tools/businesses for farmers

Alberta, Canada Katılım Nisan 2008
528 Takip Edilen153 Takipçiler
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Devan Lewis
Devan Lewis@devanlewis·
I’m an Alberta grain farmer who’s also interested in building practical tools for farmers. What I care about: - real-world farm decisions - ag tech that actually helps - rural business - faith, family, and building useful things If you’re into practical agriculture instead of fluff, you’ll probably like this account.
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Devan Lewis
Devan Lewis@devanlewis·
@theficouple But does the value loss really matter if you don't plan to sell it? We run our vehicles into the ground before we get a new one so depreciation doesn't really matter.
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theficouple
theficouple@theficouple·
When you bought the $50,000 Tesla Model Y to save on gas & maintenance. Then you learned: - It loses 20-35% of its value by year 3 - It loses 55-58% of its value by year 5 So by year 5 you lost $35,000+ of value? ....Congrats on saving ~$1,000/yr on gas.
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John Kowalchuk🧢
John Kowalchuk🧢@kowalchukfarms1·
@svhs1985 Is an offer to borrow money and defer principal payments and pay more interest really financial aid?
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Devan Lewis
Devan Lewis@devanlewis·
@MYPrecisionAg Drill calibration is the part of the job where you find out if your fall notes were good enough. Every meter rate conversation you had with yourself in November gets put to the test. Nothing makes you want spring more than finally getting the machine dialed in.
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Matt Yanick
Matt Yanick@MYPrecisionAg·
Always feels closer to seeding time when the drill tractors are getting calibrations done. Not too long and these views will be off fields and seeders and not of roads and snow! #seeding2026
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Devan Lewis
Devan Lewis@devanlewis·
@Chris_bauer_LL 118th crop is something. That's not just farming, that's the whole history of the place written in yield maps. Having your son drive that same land your dad farmed makes harvest mean more than the bushel price.
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Chris Bauer
Chris Bauer@Chris_bauer_LL·
My son and dad combining together this weekend. My son is the 5th generation on this farm. 118th crop harvested. Today, we will wrap up on the Bauer Homestead. My two boys will combine while dad mentors, wife will cart and I will get the grain home. We are 100% a #familyfarm
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Devan Lewis
Devan Lewis@devanlewis·
@kowalchukfarms1 Canola board to check prices first thing in the morning, then spend the rest of the day pretending you didn't see it. The bins aren't getting any emptier from looking at the screen but that doesn't stop us from looking.
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John Kowalchuk🧢
John Kowalchuk🧢@kowalchukfarms1·
Commodity prices are one of those things you need to keep an eye on as a grain farmer But wish you could just ignore them and put your head in the sand sometimes…
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Devan Lewis
Devan Lewis@devanlewis·
@plowwife Bottle calves have no respect for your schedule. At least a fat steer has somewhere to be. A bottle calf is on its own timeline and it's never yours.
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Jennifer Campbell
Jennifer Campbell@plowwife·
It’s easier to load fat cattle than two stubborn bottle calves!
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Devan Lewis
Devan Lewis@devanlewis·
@LouiseCarduner First year running variable rate seeding across all acres instead of just the trials. Took a few years of data to feel confident about it. We'll see if the yield map agrees. New things always look better before you get the final numbers.
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Canada's Grain
Canada's Grain@LouiseCarduner·
Ready for #plant26 ?? Anyone have some cool new equipment or technology to try for the first time this year?
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Devan Lewis
Devan Lewis@devanlewis·
@LouiseCarduner Seeding is usually the part where everything goes wrong at once and nobody has time to document it. Having someone else manage the camera while we're managing the drill sounds about right. If you ever make it out to Alberta we'd put you to work.
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Canada's Grain
Canada's Grain@LouiseCarduner·
Grain & Sky Agriculture Photography Looking forward to lots of drone video and photography this spring! 100% free for the farmer! Please let me know if you would like me to stop at your field and capture drone video and photography of your farm team out seeding/planting or spraying! #plant26
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Devan Lewis
Devan Lewis@devanlewis·
@Stampseeds @blairbalog @stampgreg CDC Lima CL is a good one for Alberta. The yellow pea market has been rough lately but AAC Julius yields well enough to make it pencil if you shop the contract right. Good to see the pulse options growing.
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Stamp Seeds 🌱
Stamp Seeds 🌱@Stampseeds·
Starting off Green: CDC Lima CL large green lentil CDC Proclaim CL small red AAC Julius yellow pea stampseeds.com Happy St Patrick’s day!
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Devan Lewis
Devan Lewis@devanlewis·
@BantrySeedFarms Bags for miles means someone had to commit to every one of those varieties months ago before a single field was even thought about. Seed decisions are made in the dark in January. You find out if you got it right in August.
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Bantry
Bantry@BantrySeedFarms·
Bags for miles 🥔🥔🥔🥔🥔🥔🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸#agtwitter
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Devan Lewis
Devan Lewis@devanlewis·
@BantrySeedFarms Trucks rolling means farmers are planning. There's something satisfying about watching seed movement pick up in March. By the time those bags land on a yard, someone has already made a lot of decisions. Looks like a busy spring coming.
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Bantry
Bantry@BantrySeedFarms·
Always a good day 🥔🥔🥔🥔🇺🇸🇺🇸🇺🇸🇺🇸🇺🇸 #Agtwitter
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Devan Lewis
Devan Lewis@devanlewis·
Behind every farm photo is a pile of decisions most people never see. Timing. Weather. Cost. Risk. Tradeoffs. Equipment. Cash flow. That’s one reason I respect farming so much. The work is visible. The decision load usually isn’t.
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Devan Lewis
Devan Lewis@devanlewis·
@UI_Franklin Clean UI helps. The harder design problem is what a farmer needs at 6am before heading out. Analytics are for reviewing. What they need in the moment is a clear call: spray today, wait, or check field 4 first. Dashboard versus decision tool are two different design problems.
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Allfather
Allfather@UI_Franklin·
Farm analytics dashboard UI
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Devan Lewis
Devan Lewis@devanlewis·
@wezomcompany Drone imaging and soil analysis are solving real problems. The part still unfinished is connecting that data to an actual field decision. Most precision ag platforms collect and visualize well, but farmers still do the last mile themselves. That's where the adoption gap lives.
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WEZOM
WEZOM@wezomcompany·
Precision agriculture is no longer science fiction: drone imaging, mapping software & data-driven insights are transforming soil/nutrient analysis, irrigation and yield forecasting. Learn how wezom.com/blog/revolutio…
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Devan Lewis
Devan Lewis@devanlewis·
@burro_ai Robots are interesting. The harder part is always the workflow around them. Who gets the alert, when, and what do they do with it? Most ag hardware solves the sensing problem fine. The software layer connecting robot data to an actual farm decision is where things break down.
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burro.ai
burro.ai@burro_ai·
Burro is heading off to World Agri-Tech🚜 While everyone’s talking about the future of agriculture, we’re busy building robots that are already doing the work.. If you’re at World Agri-Tech, come find us at Booth # and see real autonomy in action. #Burro #AgTech #WorldAgriTech
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Devan Lewis
Devan Lewis@devanlewis·
Offline-first is the right instinct. Connectivity isn't usually the real problem. The real problem is whether the tool is actually in a farmer's hand when they're walking a field and need to make a call. Getting the timing and the workflow right is harder than getting the AI right.
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Devan Lewis
Devan Lewis@devanlewis·
@yichenyang_geo Good data infrastructure. The 8-day cycle works for trend analysis but the harder problem is whether it shows up usefully when a farmer needs to make a spray call. Data that's a week old is still useful, only if it's packaged for a decision, not just displayed as a map layer.
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Yichen Yang
Yichen Yang@yichenyang_geo·
Built a corn intelligence system and am releasing it publicly before moving to my next research phase. What it is: (1) County level vegetation indices, weather data, soil data, and drought data for monitoring corn growth conditions, updated every 8 days since 2001. All are proven impactors to corn yield. Plus county level yield forecasts for the top 12 US Corn Belt states. Uses peer reviewed machine learning methods. County level MAE: 12 bu/acre. Validated over the last 11 years. Dashboard: lnkd.in/g45gwGEY Use case: time evolution of county-level corn yield forecast of 2024 youtube.com/watch?v=AFnILb… (2) National corn yield forecasts since 2015. Consistently closer to final yield numbers than USDA's own July and August forecasts. Validated over the last 11 years. Dashboard: lnkd.in/gqkx9d9q Both are live now. 2026 forecasts begin in early May. Why this exists: Commodity traders have proprietary satellite forecast models. Farmers and regional co-ops have more limited access to this type of intelligence. This information asymmetry is expensive. I'm publishing these forecasts as a public good to narrow that gap. Also: academic yield forecasting methods get published in journals and are rarely tested in operational settings. This is that test. Real data, real season, updated in real time. How to use it: Treat these as a second signal alongside USDA and other sources. Don't use forecasts in isolation. The county level monitoring data (vegetation indices, soil moisture, weather anomalies) is there to support you. Use it to understand what's driving the numbers. What I need from you: If you find this useful, tell me how to make it more useful. GitHub issues and discussions are open: lnkd.in/gQxQR8vq About me: yichenyang.dev #AgTech #Agriculture #MachineLearning #RemoteSensing #OpenData #GeoSpatial #CornBelt #CommodityTrading #OpenScience #DataScience
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Devan Lewis
Devan Lewis@devanlewis·
Good data infrastructure. The 8-day update cycle works fine for trend analysis but the harder problem is whether it shows up in a useful form when a farmer is making a planting or spray call. Data that's a week old is still useful, but only if it's packaged for a decision, not just presented as a layer on a map.
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Devan Lewis
Devan Lewis@devanlewis·
This is the right direction. Giving a rate recommendation based on actual conditions is different from handing a farmer a chart to interpret themselves. The question is whether the timing is right too. Nitrogen decisions have a narrow window and if the tool isn't surfacing at the right moment, even good data doesn't help.
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Devan Lewis
Devan Lewis@devanlewis·
@danmoscatiello Tractors are useful because they do the work. The best software should work the same way. Be there when you need it without making you analyze anything first. "Data-driven" sounds right but most farm software is log-driven, not decision-driven. Those aren't the same thing.
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