> ## Content Index > Fetch the complete content index at: https://www.theaidirectory.com.au/llms.txt > Use this file to discover other available public pages before exploring further. # DataFarming Review Australia 2026: Free Satellite NDVI and the weedSAT Bet - URL: https://www.theaidirectory.com.au/review-datafarming-australia-2026/ - Published: 2026-06-06T23:00:00.000Z - Updated: 2026-10-09T06:29:14.000Z - Description: Free 5-day satellite NDVI and a GRDC-funded weed-detection bet, built in Toowoomba for Australian broadacre. Our verdict. - Author: Adam - Tags: AgTech & Agriculture AI, #review ★ Editor’s Choice AU **22**/25 ★★★★★ Excellent DataFarming Verified 21 Sep 2026 Pricing checked 2 Sep 2026 Reviewed 7 Jun 2026 Value for Money**5**/5 Ease of Use**4**/5 Feature Depth**4**/5 Australian Fit**5**/5 Reliability & Support**4**/5 From **A$595**/yr · Advanced subscription · free Basic tier · billed in AUD **The gate:** Australian Fit 5/5 clears it, so five stars are permitted. [Skip to the verdict ](#verdict) > **Verdict (TL;DR):** If you run broadacre cropping in Australia, DataFarming is the precision-ag platform to start with — because the base tier is genuinely free. You get Sentinel-2 NDVI imagery refreshed every five days, variable-rate prescription files you can build in minutes, and an archive back to 2017, all in a browser with no download. The paid layer is where it gets interesting: weedSAT uses ultra-high-resolution satellite imagery and machine-learning algorithms to map weeds and output section-control spray files, cutting herbicide use by up to 80%. The catch is that weedSAT's strongest mode (green-on-brown summer fallow) only hit limited release in August 2025, in-crop detection is still maturing, and you need a section-control boom to use it. Start free; treat weedSAT as a paid trial on your worst paddocks. **Score: 22/25 — ⭐⭐⭐⭐⭐** *Australian Fit: 5/5 — gate passed.* *Last reviewed: 7 June 2026 by Adam.* ## What DataFarming is DataFarming is a browser-based precision-agriculture platform for growers and agronomists. You log in, see your paddocks, and pull satellite imagery, soil maps and variable-rate prescription files without installing anything. The company's pitch is "digital agronomy, without the hassle" — no downloads, run it from a browser. It is about as Australian as agtech gets. DataFarming was founded in 2017 by Tim and Peta Neale, precision-ag consultants of two decades, and is family-run from Toowoomba, Queensland. The platform now spans tens of thousands of farming enterprises and millions of hectares — the homepage cites 50,000+ farms, 330,000+ paddocks and 65 million hectares. Two things make it worth a serious look. First, the free NDVI base tier is real, not a teaser. Second, weedSAT — its weed-detection product — is the rare Australian agtech AI story with a defensible research pedigree behind it, funded by the Grains Research and Development Corporation (GRDC). A note on the "AI" framing up front, because this is an editorial publication and the moat is accuracy. DataFarming's marketing pages do **not** lead with "AI" or "machine learning" — the homepage and product pages talk about "advanced algorithms" and satellite analysis. The genuine machine-learning claim is sourced from the GRDC weedSAT research, not the sales copy (see below). We've held the review to that standard. ## What it costs in Australia DataFarming is Australian, so pricing is published in AUD with GST treatment stated — a refreshing change from the USD-rendered guesswork in most categories we review. The subscription tiers and the per-hectare service rates are both published; only the Enterprise tier is price-on-application. | Plan / service | Price (AUD) | What you get | | ---------------------------------- | -------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | | Free (Basic) tier | $0 | Standard-resolution NDVI satellite imagery on a 5-day refresh, archive back to 2017, basic monitoring | | Advanced subscription | AUD $595/year | "Pay only for what you use" plus a 15% discount on premium pay-per-use tools — high-res imagery, prescriptions, field trials | | Pro subscription | AUD $995/year | Unlimited access to John Deere yield data, STACK analysis and variable-rate prescription maps | | Enterprise | Price on application | Custom enterprise access | | weedSAT | AUD $4–7/ha + GST for image acquisition, analysis and prescription processing; GRDC cites a $7/ha figure | Ultra-high-res imagery + ML weed mapping + section-control spray file | | RapidEM soil mapping (farmer hire) | $5/ha + GST, minimum $1,200 + GST | EM soil-conductivity survey at 0.5 m and 1.2 m depth | | RapidEM (agronomist rate) | $4/ha + GST, minimum $900 + GST | Same survey, agronomist pricing | **GST note:** DataFarming states its RapidEM rates "+ GST" explicitly, so 10% applies on top of the quoted figures. As an Australian-domiciled supplier billing in AUD, GST is a domestic charge — not the imported-services treatment that catches US tools. A GST-registered farming business can generally claim the input-tax credit. Confirm the treatment and deductibility against your enterprise with your accountant — this is general information, not tax advice. The economics weedSAT pitches are concrete enough to test. DataFarming frames its $7/ha cost against a benchmark herbicide cost of about $20/ha, on the logic that you spray only the small fraction of a paddock that actually carries weeds. Whether that maths works on your country depends entirely on your weed pressure — light, patchy infestations are where it pays. ## How it works in practice The free side is the easy sell. You log in, your paddocks load, and you get NDVI imagery refreshed every five days off Sentinel-2 — the same European Space Agency satellites that underpin most serious crop-monitoring tools. NDVI is a vegetation-vigour index: greener, denser canopy reads high; bare, stressed or senescing ground reads low. For spotting a struggling corner of a paddock, tracking crop establishment, or comparing this season to the 2017-onwards archive, that base tier alone earns the login. From NDVI and other data layers you build variable-rate prescription maps. DataFarming claims "variable rate in less than 5 minutes" with an instant file download. You define zones from satellite, yield or EM data, set rates per zone for seed, fertiliser, lime, gypsum, fungicide or herbicide, and export a file your controller can read. Its STACK Analysis tool stacks multiple years of imagery to define stable production zones rather than chasing one noisy season. weedSAT is the headline act and the one that actually leans on machine learning. The GRDC research describes a four-year, GRDC-funded project — part of the Grain Automate initiative — in which DataFarming worked with University of Sydney analysts to develop algorithms that identify weeds in ultra-high-resolution and hyperspectral satellite imagery, then buffer around each weed and export a spray file. The file loads into a section-control or nozzle-control boom; the section switches on as the sprayer passes over a detected weed and off again over clean ground. DataFarming says weedSAT is compatible with 90% of booms on the market. The decoupling is the clever part: detection happens off the satellite, days before you spray, so you don't need expensive on-boom optical sensors. DataFarming claims weedSAT runs at roughly one-sixth the cost of competing spot-spray technologies. Maturity is the honest qualifier. weedSAT's green-on-brown mode (weeds on bare summer fallow) reached limited release on winter fallows in August 2025, with fuller green-on-brown release flagged for January 2026\. In-crop "green-on-green" detection — ryegrass in wheat, for instance — is targeted for 2026 and beyond and needs more research. The system had been tested on more than 120 paddocks across Australian growing regions, covering over 12,000 hectares, at the time of the GRDC update. Solid validation — but you are an early adopter, not a late one. ## What it does well - **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 this category. - **Fast variable-rate prescriptions.** Zones to downloadable file in minutes, across seed, fertiliser, ameliorants and chemical. - **A real machine-learning story, externally validated.** weedSAT's algorithms came out of a four-year GRDC-funded project with University of Sydney, tested on 120+ paddocks — not marketing-deck "AI". - **Section-control spray files without on-boom sensors.** Decoupling detection from spraying means you use the boom you already own, if it has section or nozzle control. - **Built for Australian broadacre, billed in AUD with GST stated.** Toowoomba HQ, GRDC ties, per-hectare rates quoted "+ GST". ## What it doesn't do well - **The "AI" is real but narrow and still maturing.** The defensible ML is weedSAT, and its strongest mode (green-on-brown) only reached limited release in August 2025; in-crop detection is a 2026-and-beyond research target. NDVI and variable-rate zoning are satellite analytics, not AI. Don't buy the platform expecting AI everywhere. - **Total cost is usage-dependent.** The headline subscriptions are published and clear — Advanced $595/year, Pro $995/year — but Advanced runs on a "pay only for what you use" model for premium tools, so your real annual spend depends on how much high-res imagery, prescription and weedSAT work you pull. The Enterprise tier is price-on-application. Budget the per-hectare add-ons, not just the subscription. - **weedSAT needs the right hardware and the right weeds.** No section- or nozzle-control boom, no weedSAT. And the $7/ha-versus-$20/ha case only stacks up on patchy, low-coverage infestations — blanket weed pressure erases the saving. - **Rural connectivity is a real constraint.** It's browser-based, so pulling high-res imagery and uploading boundaries on a patchy mobile signal out in the paddock can be slow. The work-around is to prepare files on a decent connection at the shed, not in the cab — but that's friction the marketing won't mention. - **Data ownership and residency aren't spelled out publicly.** DataFarming does not publish a data-residency location or a data-ownership statement on its public homepage, products or features pages. For a tool holding your paddock boundaries and yield history, that's a gap worth closing before you commit — ask the vendor directly. ## Australian fit **Built here, for here.** DataFarming is Toowoomba-based, family-run, founded 2017 by Tim and Peta Neale. weedSAT is funded by GRDC — the levy-funded Australian grains R&D body — which ties the product's roadmap directly to Australian broadacre priorities. This is not a US tool with an `.com.au` redirect; the default crop, the default context, the default grower is Australian. **AUD and GST.** Pricing is in Australian dollars with GST stated explicitly on the per-hectare rates ("+ GST"). As a domestic supplier, GST is a normal domestic charge and a GST-registered farm business can generally claim the credit — unlike the imported-services headache that complicates most overseas SaaS. Confirm with your accountant. **Data residency and ownership.** The honest gap. DataFarming publishes no statement on hosting location or data ownership across its public homepage, products or features pages. For most growers the satellite imagery itself is public ESA data, so the sensitivity sits in your boundaries, prescriptions and yield history. Ask the question before you upload years of records. **Connectivity — the bush problem.** Any browser-based platform inherits Australia's rural connectivity gaps. Sentinel-2 NDVI tiles and high-resolution weedSAT imagery are not light. Plan to do imagery-heavy work on a fixed or good-mobile connection and carry the exported spray file to the boom, rather than relying on live data in-cab on the back blocks. **AU support and roadmap.** Support runs out of the Toowoomba office, and the GRDC project is led by founders Tim and Peta Neale locally. DataFarming does not publish support hours or a service-level agreement on its public pages. The GRDC funding gives unusual visibility into the roadmap — green-on-brown maturing through 2025–26, in-crop detection beyond — which is more transparency on direction than most vendors offer. Australian Fit score: 5/5. ## Alternatives - **Cibo Labs** — the other satellite-analytics name in Australian agriculture, strongest on pasture biomass and grazing rather than cropping weed control. Consider it if you run livestock on pasture more than broadacre crop. See our [Cibo Labs review](https://www.theaidirectory.com.au/review-cibolabs-australia-2026/). - **AgriWebb** — a farm-management and record-keeping platform rather than a remote-sensing tool. Consider it if your bigger pain is compliance, livestock records and whole-farm admin, not variable-rate cropping. See our [AgriWebb review](https://www.theaidirectory.com.au/review-agriwebb-australia-2026/). - **Pairtree Intelligence** — a data-aggregation layer that pulls many farm tools and sensors into one dashboard. Consider it if you already run multiple platforms and want them unified. See our [Pairtree Intelligence review](https://www.theaidirectory.com.au/review-pairtree-australia-2026/). - **Halter** — solar GPS collars for virtual fencing and livestock management; a different problem entirely, but the other standout Australian-relevant agtech AI. Consider it if you're a grazier, not a cropper. See our [Halter review](https://www.theaidirectory.com.au/review-halter-australia-2026/). ## Bottom line DataFarming is the precision-ag platform most Australian broadacre growers should start with, for one simple reason: the front door is free and the room behind it is genuinely useful. Five-day Sentinel-2 NDVI with a 2017 archive, plus variable-rate prescriptions in minutes, would justify the login on its own. That it's Toowoomba-built, billed in AUD with GST stated, and tied to GRDC's research agenda makes it the natural home-ground choice. weedSAT is the reason to pay attention beyond the free tier — and the reason to keep your expectations calibrated. The machine learning is real, externally validated and cheap per hectare. But it's early: green-on-brown only reached limited release in August 2025, in-crop detection is a 2026-and-beyond project, and the savings depend on patchy weed pressure and a section-control boom you may or may not own. So the play is sequenced. Run the free tier this season and let it prove the imagery and the prescriptions earn their place in your operation. Then, if you have light, patchy summer-fallow weed pressure and the right boom, trial weedSAT on your worst paddocks at $7/ha and check the spray-volume saving against your own herbicide bill. Before you upload years of yield and boundary data, ask DataFarming where it's hosted and who owns it — the one question the website doesn't answer. It's our category Top Pick — and for an Australian cropper, the first platform to log into. ## Score | Criterion | Score | Why | | --------------------- | --------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Value for Money | 5/5 | A genuinely free, genuinely useful NDVI base tier; transparent per-hectare service rates; no upfront cost | | Ease of Use | 4/5 | Browser-based, no install, variable-rate in minutes — but the weedSAT workflow involves spray-file export and section-control hardware, and rural connectivity adds friction | | Feature Depth | 4/5 | NDVI, variable-rate, STACK zoning, RapidEM and weedSAT make a strong stack — but the ML weedSAT in-crop mode is still maturing and limited-release | | Australian Fit | 5/5 | Toowoomba-built, family-run, GRDC-funded, designed for AU broadacre, priced in AUD with GST stated | | Reliability & Support | 4/5 | Operating since 2017 at large scale, Pro-tier expert support, externally validated weedSAT research — short of 5 with no published data-residency statement, SLA or support hours | | **Total** | **22/25** | **⭐⭐⭐⭐⭐ Excellent** | *Australian Fit gate: 5/5 — gate passed.* Update history - **21 Sep 2026 🇦🇺 Currency verified by browser** — **native AUD, confirmed.** The live pricing page is now `datafarming.com.au/features` (both `/pricing` and `/plans` 404). It shows **$0 / $595 / $995** plans and labels the services in the currency — **"AUD $4-7\*/ha+GST"** (weedSAT) and **"AUD $5\*/ha+GST"** (RapidEM). One small drift: this review says RapidEM is "from $4–5/ha"; the page now says $5\. `aud_native: true` set explicitly. No score change. - **2 Sep 2026** — Pricing re-verified against the live features and products pages: Advanced subscription now AUD $595/year (was $395) and Pro now AUD $995/year (was $795); free Basic tier, Enterprise POA, weedSAT $4–7/ha + GST and RapidEM $5/ha + GST farmer ($1,200 + GST minimum) / $4/ha + GST agronomist ($900 + GST minimum) unchanged. Table, prose and FAQ updated. [Source](https://www.datafarming.com/features?ref=theaidirectory.com.au) - **7 Jun 2026** — First reviewed. ## Frequently asked questions ### Is DataFarming available in Australia? Yes — it's built for Australia. DataFarming is Toowoomba-based, family-run, founded in 2017, with weedSAT funded by GRDC. The default crop, context and grower are all Australian broadacre. ### Does DataFarming charge in AUD? Yes. Pricing is published in Australian dollars with GST stated explicitly — Advanced $595/year, Pro $995/year, weedSAT $4–7/ha + GST, RapidEM soil mapping from $4–5/ha + GST. A refreshing change from the USD guesswork in most categories. ### Is there a free tier? Yes, and it's genuinely useful. The free Basic tier gives Sentinel-2 NDVI imagery refreshed every five days, an archive back to 2017, and basic monitoring — no download, run it in a browser. It earns the login on its own. ### Is DataFarming really an AI tool? Partly. The defensible machine learning is weedSAT, developed in a four-year GRDC-funded project with University of Sydney and tested on 120+ paddocks. NDVI and variable-rate zoning are satellite analytics, not AI — don't expect AI everywhere. ### Is my farm data stored in Australia? Unclear. DataFarming publishes no statement on hosting location or data ownership. The satellite imagery is public ESA data, but your boundaries, prescriptions and yield history are sensitive — ask the vendor directly before uploading years of records. ## Read next - Category guide: [Best AgTech & Agriculture AI Tools in Australia 2026](https://www.theaidirectory.com.au/roundup-best-agtech-agriculture-ai-australia-2026/) - Head-to-head: [DataFarming vs AgriWebb](https://www.theaidirectory.com.au/compare-datafarming-vs-agriwebb-australia-2026/) ## Sources 1. DataFarming — Homepage ("digital agronomy, without the hassle", no downloads, 50,000+ farms / 330,000+ paddocks / 65M ha, free NDVI, variable rate in <5 minutes) — https://www.datafarming.com/ — Wayback: https://web.archive.org/web/20260521041718/https://www.datafarming.com/ (snapshot 21 May 2026) — checked 7 June 2026 2. DataFarming — Products page (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, STACK Analysis, Advanced/Pro subscriptions) — https://www.datafarming.com/products — Wayback: https://web.archive.org/web/20260521041737/https://www.datafarming.com/products (snapshot 21 May 2026) — checked 7 June 2026 3. DataFarming — Features / pricing page (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 7 June 2026; re-checked 2 September 2026 (Advanced now $595/year, Pro now $995/year; free Basic, Enterprise POA, weedSAT and RapidEM rates unchanged) 4. DataFarming — About us (founded 2017, Tim and Peta Neale, Toowoomba QLD, Digital Agronomist launched Oct 2017, Australian-owned and family-run) — https://www.datafarming.com.au/about — Wayback: https://web.archive.org/web/20251122105037/http://datafarming.com.au/about (snapshot 22 Nov 2025 — the capture predates our check; it is the nearest snapshot of this URL, not a same-day one) — checked 7 June 2026 5. GRDC — weedSAT update paper "Turning your conventional boom into a spot sprayer using ultra high resolution satellite imagery" (Aug 2025) (machine-learning algorithms, hyperspectral/ultra-high-res imagery, up to 80% herbicide reduction, $7/ha vs $20/ha benchmark, University of Sydney, GRDC Grain Automate funding, four-year project, 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 (snapshot 29 Nov 2025) — checked 7 June 2026 6. GRDC GroundCover — "New weed detecting system uses existing boomsprays" (limited release winter fallows Aug 2025, fuller green-on-brown Jan 2026, in-crop 2026+, 120+ paddocks / 12,000+ ha tested) — https://groundcover.grdc.com.au/grdc/announcements/new-weed-detecting-system-uses-existing-boomsprays — checked 7 June 2026 *The AI Directory Australia is an independent editorial publication. We don't accept payment for positive reviews. Read our* [*Methodology*](https://www.theaidirectory.com.au/methodology/) *and* [*Affiliate Disclosure*](https://www.theaidirectory.com.au/affiliate-disclosure/)*.*