DataFarming
DataFarming is an Australian cloud-based precision agriculture platform founded in 2017, serving farmers, agronomists, and corporate agribusiness with satellite imagery, weed detection (weedSAT), soil mapping (RapidEM), and variable rate prescription tools across 53,000+ farms and 65 million hectares.
- Company typePrivate
- Founded2017
- HeadquartersHighfields, Australia
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What DataFarming does
DataFarming is an Australian precision agriculture company founded in 2017 by Tim and Peta Neale, headquartered in Toowoomba, Queensland. It operates a cloud-based platform called Digital Agronomist that delivers satellite imagery, variable rate prescription maps, and digital agronomy tools to farmers, agronomists, and corporate agribusiness customers, primarily across Australia and globally. The core platform provides free 10-meter NDVI satellite imagery on a 5-day refresh cycle with archives dating to 2017, supplemented by paid add-ons including weedSAT (computer-vision weed detection from super high-resolution satellite imagery, reducing herbicide use by 70-80%), RapidEM (autonomous electromagnetic soil mapping for variable rate amelioration), STACK Analysis (multi-year imagery stacking to define production zones), prescription maps, yield analysis, and field trial management. The platform has scaled to 53,000+ farms, 65 million hectares, and 330,000+ paddocks, capturing approximately 40% of the Australian farm market within four years of launch.
The business monetises through a freemium product-led growth model: Basic access is free forever, Advanced is A$395/year, Pro is A$795/year, and Enterprise is priced on application for large agribusiness firms. Premium tools (weedSAT at A$4-7/ha, RapidEM at A$5/ha, high-resolution imagery at instant quotes) generate usage-based revenue on top of subscriptions, with 15% discounts for Advanced subscribers. Enterprise and government customers are served through the Agri-Intelligence platform, providing regional-scale analytics, crop type identification, automated paddock drawing, fallow detection, and custom solutions under bespoke contracts. Distribution is primarily self-serve via the web platform, supplemented by direct sales for enterprise and RapidEM hardware hire. The company has raised approximately A$3.83M across two 2022 rounds led by GrainInnovate, with participation from Artesian VC and Investible, and holds strategic partnerships with GRDC (weedSAT development funding), the University of Sydney (algorithm research), and John Deere (yield data integration). DataFarming is a private, family-run, founder-owned company with no disclosed parent company or institutional control beyond the listed investors.
DataFarming firmographics
Firmographics- Name
- DataFarming
- Legal name
- Data Farming Pty Ltd
- Website
- https://datafarming.com.au
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- DataFarming is an Australian cloud-based precision agriculture platform founded in 2017, serving farmers, agronomists, and corporate agribusiness with satellite imagery, weed detection (weedSAT), soil mapping (RapidEM), and variable rate prescription tools across 53,000+ farms and 65 million hectares.
- Ownership category
- akta.pro rank
DataFarming industry classification
Industry- Product category
- Precision Agriculture Software
- NAICS
- Support Activities for Crop Production (11511)
- SIC
- Agricultural Services (700)
- akta.pro primary industry
- Farm Data Management & Decision Support Services (FMIS Setup, Data Integration, Analytics) (AFACACAC)
- akta.pro secondary industries
- Satellite Imagery & Monitoring Platforms (AFAAAFAI), Field Mapping, GIS & Digital Agronomy (Zoning, Prescription Maps, Yield Maps, Spatial Analytics) (AFAGALAG), Variable Rate Technology (VRT) & Prescription/Tasking Platforms (AFAAAFAE), Interoperability & Data Connectivity Services (API/ETL, ISOXML/AgGateway, Equipment Data Sync) (AFACACAL)
Keywords
Where DataFarming is headquartered
LocationHeadquarters
- HQ city
- Highfields
- HQ country
- Australia
- HQ region
- Oceania
Offices1 record
Markets served
DataFarming business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Supply Chain, Operations, Marketing or Sales, Infrastructure
Revenue model
- Subscription Plans (Basic, Advanced, Pro, Enterprise): Annual subscription tiers providing tiered access to the platform's core tools. Basic is free forever. Advanced ($395/year) adds prescription map discounts, STACK analysis discounts, field trials, and basic support. Pro ($795/year) adds unlimited STACK, prescription maps, yield maps, and comprehensive digital data technical assistance. Enterprise (POA) offers bulk pricing and tailored training for large agribusiness firms.
- Pay-Per-Use Premium Tools: Premium add-on tools charged per hectare: weedSAT at $4–7/ha+GST, RapidEM at $5/ha+GST (farmers; $4/ha+GST for agronomists), high-resolution imagery at instant quote pricing. Subscription holders receive discounts on STACK Analysis ($85/field vs $99/field) and prescription maps ($0.43/ha vs $0.50/ha).
- Enterprise / Corporate Solutions: Agri-Intelligence platform provides custom enterprise solutions for industry-wide insight including crop type identification, automated paddock drawing, fallow land detection, and custom analytics for agribusiness, government, and industry partners. Pricing is bespoke (POA).
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free forever for individuals — basic monitoring and collaboration |
| Subscription | Annual | $395/year — Advanced tools with discounted premium add-ons |
| Subscription | Annual | $795/year — Unlimited access to all tools with full support |
| Subscription | Multi-year contract | Custom pricing for large agribusiness and corporates |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels6 records
DataFarming product offering
Product offeringCore offering
DataFarming sells a cloud-based digital agronomy platform (Digital Agronomist™) that delivers free and paid satellite imagery-based crop monitoring, weed detection (weedSAT™), autonomous soil conductivity mapping (RapidEM™), multi-year production zone analysis (STACK), variable rate prescription maps, yield analysis, and field trial tools. Premium add-ons are charged per hectare (e.g., weedSAT $4–7/ha+GST, RapidEM $5/ha+GST) with tiered annual subscriptions (Basic free, Advanced $395/year, Pro $795/year) and a custom Enterprise plan.
Product overview
DataFarming offers a cloud-based platform architecture centered on the Digital Agronomist™ platform with multiple integrated modules and add-on tools. The core platform provides free basic NDVI satellite imagery with premium add-ons including weedSAT™ (satellite-based weed detection for spot spraying), RapidEM™ (electromagnetic soil mapping), STACK Analysis (multi-year imagery analysis), Prescription Maps (variable rate application files), Yield Analysis, Field Trials, and High Resolution Satellite Imagery. For enterprise customers, the separate Agri-Intelligence™ platform provides custom solutions for industry-wide insight. The platform is accessible via subscription tiers (Basic free, Advanced $395/year, Pro $795/year, Enterprise POA) with add-on products priced per hectare.
Differentiator
Problem solved
Functional benefit
Brands
- weedSAT™: Military grade satellite imagery technology that detects weeds and enables spot spraying, reducing herbicide use by up to 70-80%. Developed with investment from the Grains Research and Development Corporation (GRDC).
- RapidEM™
- Agri-Intelligence™
- Digital Agronomist™
Products and services
- Digital Agronomist™ Platform Cloud-based core digital agronomy platform that combines free NDVI satellite imagery, prescription maps, STACK analysis, yield analysis, field trials, premium add-ons and John Deere integration in a single no-download web environment for farmers and agronomists.
- weedSAT™ Standalone pay-per-use satellite weed detection and mapping tool using military-grade super high-resolution imagery and custom machine learning algorithms to pinpoint weed locations and export buffer files compatible with conventional boom sprayers for spot spraying, reducing herbicide use by 70–80%.
- RapidEM™ Standalone autonomous electromagnetic (EM) soil conductivity mapping service where the sensor unit installs behind vehicles on a towball hitch, auto-logs data and uploads to the cloud, producing prescription maps for variable rate soil amelioration. Farmers hire at $5/ha+GST ($900 minimum) and agronomists at $4/ha+GST ($900 minimum).
- STACK Analysis Multi-year satellite imagery analysis tool that combines historical data (back to 2017) to define production zones within paddocks and converts directly into prescription maps for variable rate soil amelioration. Sold pay-per-use ($99/field, discounted to $85/field for Advanced/Pro subscribers) or unlimited with Pro subscription.
- Prescription Maps Variable rate application maps generated from satellite imagery, yield data, or EM readings, enabling variable rate application of fertiliser, seed and chemicals; loadable into machinery screens. Sold pay-per-use ($0.50/ha, discounted to $0.43/ha for Advanced/Pro subscribers).
- Yield Analysis Yield data visualization and analysis tool that automatically imports John Deere yield data, overlays prescription zones, and reviews final paddock performance. Included with Pro subscription (unlimited JD Yield Maps).
- Field Trials Trial setup and monitoring tool that allows users to test seed, fertiliser and chemical rate responses by measuring crop changes in satellite imagery to evaluate outcomes. Included with Advanced and Pro subscriptions.
- Standard Resolution Satellite Imagery Free 10-meter pixel NDVI satellite imagery refreshed every five days with archives going back to 2017 for plant health, weed pressure, crop stress and nutrient deficiency tracking. Included with the Basic (free) tier.
- High Resolution Satellite Imagery Premium satellite imagery captured down to 50cm pixel resolution for fine-detail crop variability monitoring; more cost-effective than drones or planes. Sold via instant quote per task.
- Agri-Intelligence™ Separate enterprise-grade platform delivering custom-built solutions combining regional-scale agricultural data with paddock-level precision for corporate agribusiness, government and industry partners. Includes crop type identification, automated paddock drawing, fallow land detection, soil water mapping, logistics support and custom analytics. Custom POA pricing under the Enterprise subscription plan.
Quantifiable outcome
- Reduces chemical/herbicide use by approximately 70–80% in some applications, cutting spray costs by up to 80%
- +4 more outcomes
Companies that use DataFarming
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles3 records
DataFarming technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability4 records
Feature5 records
DataFarming partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- University of SydneycoreUniversity of Sydney contributed to weedSAT algorithm development, providing academic and research expertise to train the custom machine learning models used for weed detection from satellite imagery.
- John DeerecoreDataFarming integrates with John Deere systems to automatically import yield data into its platform. Farmers with John Deere equipment can connect their accounts to pull yield maps directly, enabling yield analysis, prescription map overlays, and multi-year performance tracking.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
DataFarming competitors and assessment
Company assessmentDirect peers
- Climate FieldView (Bayer): Bayer's flagship digital agriculture platform offering satellite imagery, field health monitoring, variable rate scripting, and yield analysis. Most direct global competitor to DataFarming's Digital Agronomist platform, with much larger scale and capital backing.
- Taranis: AI-powered precision agriculture platform combining aerial (drone and plane) imagery with satellite data to deliver crop intelligence, weed detection, and variable rate prescriptions. Closest analog to DataFarming's weedSAT and STACK analytics, with overlapping customer base of agronomists and large growers.
- Agworld: Cloud-based farm management platform focused on collaboration between growers and agronomists, including planning, record-keeping, and prescription maps. Directly comparable SaaS model and target user (farmer + agronomist), with strong presence in Australia.
- Conservis: Farm management platform providing field records, planning, and analytics for row crop operations, with emphasis on enterprise farms and agronomy service providers. Comparable cloud-delivered SaaS model targeting similar precision agriculture workflows.
Broad incumbents
- Trimble Ag (PTx Trimble): Established precision agriculture software and hardware suite covering guidance, variable rate, and farm data management. Broader portfolio than DataFarming, including hardware integrations and OEM relationships that compete for the same precision ag budget.
- Granular (Corteva): Farm management software owned by Corteva that helps growers and agronomists with planning, field records, and profitability analysis. Competes for the same agronomist and enterprise agribusiness customer, with deeper parent-company distribution.
- Syngenta Cropwise: Syngenta's digital agriculture platform offering imaging, agronomic recommendations, and farm data management. Part of a major crop-inputs company's portfolio, with comparable imagery-driven analytics and global enterprise reach.
- John Deere Operations Center: John Deere's farm data management platform that DataFarming integrates with for yield data. A critical ecosystem incumbent — its OEM reach, free data layer, and tight equipment integration create both a partnership dependency and a competitive threat to independent platforms like DataFarming.
Emerging players
- Solorrow: Precision agriculture company offering variable rate and zone-based analytics for growers and agronomists. Smaller, emerging player with overlapping satellite-imagery-driven prescription workflows, particularly active in European and Latin American markets.
Regional players
- FluroSat (formerly FluroSense): Australian-founded crop monitoring and satellite analytics company (now part of Regrow Ag) that offers comparable NDVI/imagery-based agronomy analytics for Australian and international broadacre growers.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
DataFarming social profiles
Digital presenceDataFarming financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataFarming leadership team
Management profileNumber of profiles
Profiles2 records
DataFarming funding detail
Funding detailFunding overview
Funding rounds2 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataFarming M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about DataFarming
What does DataFarming do?
DataFarming sells a cloud-based digital agronomy platform (Digital Agronomist™) that delivers free and paid satellite imagery-based crop monitoring, weed detection (weedSAT™), autonomous soil conductivity mapping (RapidEM™), multi-year production zone analysis (STACK), variable rate prescription maps, yield analysis, and field trial tools. Premium add-ons are charged per hectare (e.g., weedSAT $4–7/ha+GST, RapidEM $5/ha+GST) with tiered annual subscriptions (Basic free, Advanced $395/year, Pro $795/year) and a custom Enterprise plan.
Is DataFarming a public or private company?
DataFarming is a private company. It is classified as venture growth investor backed and is currently operating.
When was DataFarming founded?
DataFarming was founded in 2017. It employs 11 to 50 people.
Where is DataFarming based?
DataFarming is headquartered in Highfields, Australia, in the Oceania region.
How does DataFarming make money?
Three revenue lines are on record. Subscription Plans (Basic, Advanced, Pro, Enterprise) is the primary driver. The others are pay-Per-Use Premium Tools and enterprise / Corporate Solutions.
Who are DataFarming's main competitors?
Direct peers on record are Climate FieldView (Bayer), Taranis, Agworld and Conservis. Broad incumbents are Trimble Ag (PTx Trimble), Granular (Corteva), Syngenta Cropwise and John Deere Operations Center. Solorrow is listed as an emerging player. FluroSat (formerly FluroSense) is listed as a regional player.
Does DataFarming have an API?
No public API is recorded for DataFarming.
What industry is DataFarming in?
DataFarming's product category is Precision Agriculture Software. Its primary akta.pro industry code is AFACACAC, Farm Data Management & Decision Support Services (FMIS Setup, Data Integration, Analytics), with a secondary code of AFAAAFAI, Satellite Imagery & Monitoring Platforms. Its NAICS code is 11511 and its SIC code is 700.