AgTech & Agriculture AI

DataFarming vs AgriWebb 2026: which AI tool for your Australian farm?

By Adam · 9 Jun 2026 · 11 min read
Head-to-head verdict

No single winner. The right choice depends on the job; the verdict below says who should buy which.

There is no single winner — these tools do different jobs. DataFarming scores 22/25 and is the pick for broadacre cropping: free satellite NDVI and the weedSAT spot-spray bet. AgriWebb scores 21/25 and is the pick for livestock: records, mapping and grazing tools for cattle and sheep. Both earn a clean 5/5 on Australian Fit. Choose by what you farm, not by the score gap — a single point between them is noise next to the difference between mapping crops from space and running a mob book on your phone.

Last reviewed: 9 June 2026 by Adam.

At a glance

DataFarming AgriWebb
Our score 22/25 ⭐⭐⭐⭐⭐ Excellent 21/25 ⭐⭐⭐⭐⭐ Excellent
The job it does Satellite crop imagery + variable-rate + weed mapping Livestock records, mapping, analytics + grazing planning
Entry price (AUD) Free base NDVI tier; Advanced $395/yr; Pro $795/yr Per-head calculator quote; no published "from $X/year"
The AI weedSAT — GRDC-funded ML weed detection (maturing) Foragecaster — ML pasture forecaster (beta)
Built Toowoomba, QLD (2017) Sydney, NSW (2014)
Data residency Not published — ask the vendor Onshore — Australian servers, Privacy Act 1988
Australian Fit 5/5 5/5
Best for Broadacre croppers Cattle and sheep graziers

These are not competing products. DataFarming watches your crop from space and tells your boom and spreader what to do. AgriWebb is the digital record book and grazing planner for a livestock business. Both are among the most Australian tools in the category. The decision is about your farm type — the rest of this piece sorts out which is which.

What both do

The common ground is narrow but real. Both are Australian-built agtech platforms, founded by people with genuine agricultural backgrounds — DataFarming by precision-ag consultants Tim and Peta Neale in 2017, AgriWebb by Justin Webb, Kevin Baum and John Fargher in 2014, on the back of a 150-year-old family grazing property. Both price in Australian dollars with GST treated as a normal domestic charge. Both run a real, externally validated machine-learning feature — and both are honest that the headline AI is still maturing.

Both also lean on satellite data, but in different directions. DataFarming is a remote-sensing platform at its core: Sentinel-2 NDVI imagery, refreshed every five days, plus ultra-high-resolution imagery for weed detection. AgriWebb is a records platform that pulls in satellite pasture data through its Cibo Labs integration — dry-matter estimates dropped onto your map every five days to feed the grazing planner. One is built on the imagery; the other consumes it as one input among many.

After that, they diverge completely. DataFarming has no livestock records, no mob book, no compliance trail. AgriWebb has no variable-rate prescriptions, no crop NDVI, no spot-spray files. They solve different problems for different farms.

Pricing in Australia

Both price in AUD, so there is no exchange-rate guesswork. The structures could hardly be more different.

DataFarming publishes a clear rate card. The Basic tier is genuinely free — standard-resolution NDVI on a five-day refresh, with an archive back to 2017. Above that, Advanced is $395/year and Pro is $795/year, with Enterprise price-on-application. The catch is that Advanced runs on a "pay only for what you use" model for premium tools, so your real spend depends on how much high-res imagery and prescription work you pull. The headline AI feature, weedSAT, is billed per hectare — $4–7/ha plus GST for image acquisition, analysis and prescription, with GRDC citing a $7/ha figure. RapidEM soil mapping is $5/ha plus GST (minimum $1,200) at the farmer rate, $4/ha (minimum $900) for agronomists.

AgriWebb does the opposite: it hides the number behind a calculator. You enter your cattle and sheep head count and it returns a quote, scaling with the size of your operation rather than a flat seat fee. There are three tiers — Essentials, Compliance and Performance — billed monthly or annually with no lock-in, and a 40% discount on year one was advertised at review. But there is no published per-head or per-DSE rate, so you cannot do the maths yourself before committing your numbers. Add-ons stack: Movement Planning and Grazing Planning at $300/year each, Cibo Labs PastureKey from $1,000/year.

Value verdict: DataFarming has the better entry story by a distance — the free tier alone earns the login, and the rate card lets you budget before you commit. AgriWebb's pricing is fair and transparent in structure, but you cannot see your actual cost without entering your stock numbers. Neither is expensive for what it does; DataFarming just lets you start at zero.

Where DataFarming wins

  • A genuinely free, genuinely useful base tier. Five-day Sentinel-2 NDVI with an archive to 2017, at no cost, is the strongest free offer in the category. AgriWebb has a free trial, but no permanent free tier.
  • Fast variable-rate prescriptions. Zones to a downloadable controller file in minutes, across seed, fertiliser, lime, gypsum, fungicide or herbicide. AgriWebb does not do this at all.
  • weedSAT, and the spray-cost case. The GRDC-funded weed-detection product cuts herbicide use by up to 80% by spraying only the small fraction of a paddock carrying weeds. DataFarming frames its $7/ha cost against a roughly $20/ha herbicide benchmark, and says weedSAT runs at about one-sixth the cost of competing spot-spray tech.
  • Section-control spray files without on-boom sensors. Detection happens off the satellite days before you spray, so you use the boom you already own — DataFarming claims compatibility with 90% of booms on the market.
  • A published rate card. Free, $395, $795, plus per-hectare service rates you can see before you commit.

Where AgriWebb wins

  • The whole-farm record book. Map your property, log mobs, movements, treatments, weights, deaths, rainfall and compliance events, and get cost of production, average daily gain and stocking rate back as analytics. DataFarming does none of this.
  • Built for the paddock. Offline-tolerant, phone-first data capture in the yards or on the bike, with drag-and-drop mob movements and GPS-tagged tasks.
  • Compliance evidence in one place. Treatment and movement records form the audit trail Australian red-meat producers need for NLIS and LPA — out of a shoebox of paper and into a queryable app.
  • Onshore data residency. AgriWebb stores customer data on Australian servers under the Privacy Act 1988, with the Australian controller being AgriWebb Australia Pty Ltd in Surry Hills. DataFarming publishes no data-residency statement at all.
  • A documented Australian support line. Phone, text, email and live chat, staffed Monday to Friday, 8:30 am to 5:00 pm Sydney time. DataFarming publishes no support hours or SLA.
  • The dataset moat. More than 25% of Australia's grazing animals are managed in AgriWebb, across 17,000+ producers — the training set behind Foragecaster's 60-million-animal model.

Australian fit

Both score a clean 5/5, and both deserve it. This is the rare head-to-head where Australian Fit separates neither tool — it is a strength on both sides.

  • Local credentials: DataFarming is Toowoomba-built and family-run, with weedSAT funded by GRDC, the levy-funded Australian grains R&D body. AgriWebb is Sydney-built, born on a real Australian grazing property, and manages more than a quarter of the nation's grazing animals. Neither is a US tool with a .com.au redirect.
  • AUD and GST: Both price in Australian dollars with GST as a normal domestic charge, generally claimable as an input tax credit by a GST-registered farm business. Confirm deductibility with your accountant.
  • Data residency: This is the one place they part. AgriWebb stores data on Australian servers under the Privacy Act 1988 — the answer growers want. DataFarming publishes no hosting or data-ownership statement; ask before you upload years of boundaries and yield history. Note that DataFarming's core imagery is public ESA satellite data, so the sensitivity sits in your own records.
  • AU support and roadmap: AgriWebb publishes support hours and a local line. DataFarming does not, though its GRDC funding gives unusual visibility into the weedSAT roadmap.

So Australian Fit does not break the tie. Both clear the gate that decides the category's top award. The decision comes back to the job.

Which to pick

Pick by what you farm. That is the whole decision.

  • Broadacre cropping → DataFarming. If your pain is crop vigour, variable-rate seed and fertiliser, and herbicide bills, DataFarming is the pick. Start on the free NDVI tier this season and let the imagery and prescriptions prove themselves. If you have light, patchy summer-fallow weed pressure and a section-control boom, trial weedSAT on your worst paddocks at $7/ha and check the spray-volume saving against your own chemical bill.
  • Cattle or sheep → AgriWebb. If you run livestock and still keep records on paper, in a diary or in a spreadsheet, AgriWebb is the platform to trial first. Buy it for the records, mapping and grazing tools you will use tomorrow, and treat Foragecaster as upside that is arriving, not arrived. Get your all-in quote from the calculator including add-ons, and get your data-export path in writing.
  • Mixed cropping and grazing → both, for different jobs. They do not overlap, so running DataFarming on the cropping country and AgriWebb on the livestock side is a sensible setup, not a duplication. Budget for two subscriptions, but you are buying two different tools.
  • Buying specifically for finished AI → wait, on either. weedSAT's strongest mode only reached limited release in August 2025 and in-crop detection is a 2026-and-beyond target. Foragecaster is in beta, 1.5 to 3 years from full maturity. Both AIs are real and Australian-trained, but neither is the lean-on-it-daily feature the marketing implies. Buy for the tools that ship today.

The verdict

There is no overall winner here, and forcing one would be the wrong call. DataFarming takes 22/25 and AgriWebb 21/25, but a single point cannot bridge the gap between a satellite cropping platform and a livestock record book. They serve different farms.

For broadacre croppers, DataFarming is the pick — and our category Top Pick — because the front door is free and the room behind it is genuinely useful. Five-day NDVI with a 2017 archive and variable-rate prescriptions in minutes justify the login on their own, and weedSAT is a real, GRDC-validated machine-learning bet for the right weeds and the right boom.

For graziers, AgriWebb is the pick, because it is the category benchmark for digital record-keeping on a cattle or sheep operation. It runs more than a quarter of the country's grazing animals, prices fairly in AUD, stores your data onshore under Australian privacy law, and does not lock you into a contract. Foragecaster is the most credible local livestock-ML effort going, even if it is still beta.

Both are honest about the limits of their AI, both are built here for here, and both clear our Australian Fit gate. Match the tool to the farm and either one is an easy recommendation. Run both if you run mixed country — they do not step on each other.

Frequently asked questions

Are DataFarming and AgriWebb available in Australia?

Yes. Both are Australian-built — DataFarming in Toowoomba, Queensland (2017), and AgriWebb in Sydney (2014), founded on a 150-year-old family grazing property. Both clear our Australian Fit gate at 5/5.

Do they charge in AUD?

Yes, both price in Australian dollars with GST treated as a normal domestic charge — no exchange-rate guesswork. GST is generally claimable as an input tax credit for a registered farm business; confirm deductibility with your accountant.

Is there a free tier?

DataFarming has a genuinely free Basic tier — five-day Sentinel-2 NDVI with an archive back to 2017, the strongest free offer in the category. AgriWebb has a free trial but no permanent free tier; its paid pricing is per-head via a calculator.

Which keeps Australian data onshore?

AgriWebb. It stores customer data on Australian servers under the Privacy Act 1988, with the controller being AgriWebb Australia Pty Ltd in Surry Hills. DataFarming publishes no data-residency statement, so ask the vendor before uploading years of records.

Which should I pick for my farm?

Pick by what you farm. DataFarming for broadacre cropping — crop NDVI, variable-rate prescriptions and the weedSAT spot-spray bet, and our category Top Pick. AgriWebb for cattle or sheep — records, mapping and grazing tools. Run both if you crop and graze.


The AI Directory Australia is an independent editorial publication. We don't accept payment for positive reviews. Affiliate links are disclosed and sponsored content is labelled. Read our Methodology and Affiliate Disclosure pages.

This comparison is general information, not agronomic, veterinary or tax advice. Neither tool replaces your own LPA/NLIS obligations or professional advice — confirm pricing, deductibility and your data-export path before you commit.

Synthesised from The AI Directory's verified reviews of DataFarming (22/25) and AgriWebb (21/25), both reviewed 7 June 2026. Pricing as cited in those reviews, taken directly from each vendor's Australian pages; confirm current figures before purchase.

Compared by Adam for The AI Directory Australia. First published 9 June 2026.


Sources

Imported from The AI Directory's verified reviews of DataFarming and AgriWebb, where these pages were captured to the Wayback Machine.

DataFarming

  1. Primary — DataFarming / Homepage (free NDVI, variable rate in <5 minutes, no downloads) — https://www.datafarming.com/ — Wayback: https://web.archive.org/web/20260521041718/https://www.datafarming.com/ — checked 13 June 2026
  2. Primary — DataFarming / Products (weedSAT green-on-brown/green-on-green, ~70–80% chemical reduction, ~1/6th competitor cost, 90% boom compatibility, RapidEM $5/ha + GST farmer / $4/ha + GST agronomist with minimums, free 5-day NDVI archive since 2017) — https://www.datafarming.com/products — Wayback: https://web.archive.org/web/20260521041737/https://www.datafarming.com/products — checked 13 June 2026
  3. Primary — DataFarming / Features and pricing (Basic free; Advanced $395/year; Pro $795/year; Enterprise POA; weedSAT $4–7/ha + GST; RapidEM $5/ha + GST) — https://www.datafarming.com/features — Wayback: http://web.archive.org/web/20260521041737/https://www.datafarming.com/features — checked 13 June 2026
  4. Primary — DataFarming / About us (founded 2017, Tim and Peta Neale, Toowoomba QLD, Australian-owned and family-run) — https://www.datafarming.com.au/about (repointed 21 Sep 2026 — old URL returned HTTP 404, found in a full-corpus citation check; page content and facts unchanged) — Wayback: https://web.archive.org/web/20251122105037/http://datafarming.com.au/about (old path; content identical) — checked 13 June 2026
  5. GRDC / Update paper "Turning your conventional boom into a spot sprayer using ultra high resolution satellite imagery" (Aug 2025) (machine-learning weed detection, up to 80% herbicide reduction, $7/ha vs $20/ha benchmark, section-control spray files) — https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2025/08/weedsat-turning-your-conventional-boom-into-a-spot-sprayer-using-ultra-high-resolution-satellite-imagery — Wayback: https://web.archive.org/web/20251129061932/https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2025/08/weedsat-turning-your-conventional-boom-into-a-spot-sprayer-using-ultra-high-resolution-satellite-imagery — checked 13 June 2026
  6. GRDC GroundCover / "New weed detecting system uses existing boomsprays" (limited release winter fallows Aug 2025, in-crop 2026+) — https://groundcover.grdc.com.au/grdc/announcements/new-weed-detecting-system-uses-existing-boomsprays — checked 13 June 2026

AgriWebb

  1. Primary — AgriWebb / Our Story (founded 2014, founders Justin Webb, Kevin Baum and John Fargher, Sydney roots) — https://www.agriwebb.com/our-story/ — Wayback: https://web.archive.org/web/20260607132714/https://www.agriwebb.com/our-story/ — checked 13 June 2026
  2. Primary — AgriWebb / Homepage (records, mapping, analytics; 17,000+ producers; 25%+ of Australia's grazing animals) — https://www.agriwebb.com/ — Wayback: https://web.archive.org/web/20260422143223/https://www.agriwebb.com/ — checked 13 June 2026
  3. Primary — AgriWebb / Pricing (Essentials/Compliance/Performance tiers, per-head calculator, monthly/annual, no lock-in, 40% year-one; Movement Planning and Grazing Planning add-ons A$300/year each; Cibo Labs PastureKey from A$1,000/year; Australian support line, Mon–Fri 8:30 am–5:00 pm Sydney time) — https://www.agriwebb.com/pricing/ — Wayback: https://web.archive.org/web/20260607132637/https://www.agriwebb.com/pricing/ — checked 13 June 2026
  4. Primary — AgriWebb / Foragecaster (ML pasture forecaster, 60M-animal model, beta status, ~1.5-year rollout) — https://www.agriwebb.com/foragecaster/ — Wayback: https://web.archive.org/web/20260414124237/https://www.agriwebb.com/foragecaster/ — checked 13 June 2026
  5. Primary — AgriWebb / Cibo Labs integration (satellite dry-matter estimates every 5 days, auto Feed on Offer) — https://www.agriwebb.com/integrations/cibo-labs-integration/ — Wayback: https://web.archive.org/web/20260607132721/https://www.agriwebb.com/integrations/cibo-labs-integration/ — checked 13 June 2026
  6. Primary — AgriWebb / Global Privacy Policy, 25 February 2026 (servers storing customer data located in Australia; Australian controller AgriWebb Australia Pty Ltd ABN 79 643 115 815, Surry Hills NSW; Privacy Act 1988 (Cth) / Australian Privacy Principles) — https://www.agriwebb.com/privacy-policy/ — Wayback: http://web.archive.org/web/20190821073718/https://www.agriwebb.com/privacy-policy/ — checked 13 June 2026
  7. Meat & Livestock Australia / "New AI planner set to boost pasture, land and production forecasting" (Foragecaster context) — https://www.mla.com.au/news-and-events/industry-news/new-ai-planner-set-to-boost-pasture-land-and-production-forecasting/ — Wayback: https://web.archive.org/web/20260520063636/https://www.mla.com.au/news-and-events/industry-news/new-ai-planner-set-to-boost-pasture-land-and-production-forecasting/ — checked 13 June 2026
  8. Beef Central / "$6.5m project hoping to improve on-farm forecasting using AI" (A$6.5m budget, 2–3yr deployment, context) — https://www.beefcentral.com/ag-tech/6-5m-project-hoping-to-improve-on-farm-forecasting-using-ai/ — Wayback: https://web.archive.org/web/20251106152753/https://www.beefcentral.com/ag-tech/6-5m-project-hoping-to-improve-on-farm-forecasting-using-ai/ — checked 13 June 2026

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