Reviewed September 2026 against USDA NASS, USDA ERS, and Markets and Markets.

Try it: Estimated data points per season: — →

Satellite agriculture data in the United States breaks down like this: 12% of large-scale US farms used satellite imagery for monitoring in 2023, per USDA’s Economic Research Service, while 27% of all US farms had adopted at least one precision agriculture practice the same year, according to the USDA NASS Technology Use Survey. The gap between those two numbers is the story of this page — satellite imagery is one tool inside a much bigger precision-ag toolbox, and the volume, completeness, and resolution of that data varies sharply by farm size and by which technology you’re counting.

This article answers three related questions that keep showing up in search: how much satellite/precision-ag data US farms actually generate and use (data volume), how consistently that data covers the technologies farms report using (data completeness), and where the underlying figures come from so you can verify or refresh them yourself. It also covers satellite precision agriculture adoption trends more broadly for readers arriving from that angle.

Contents

Data Volume: How Much Satellite/Precision-Ag Data US Farms Generate

“Data volume” in US agriculture is not a single published figure — no federal agency reports total terabytes of farm satellite data collected per year. What USDA does publish, and what actually answers the practical question of “how much satellite data is in use,” is adoption share by technology and by farm size, from the USDA NASS Technology Use Survey conducted in 2023 (results released and summarized by DTN/Progressive Farmer in March 2023, drawing on the underlying USDA NASS Technology Use Survey).

• 12% of large-scale US farms used satellite imagery specifically for monitoring in 2023 (USDA ERS).
• 27% of all US farms, across every size class, had adopted at least one precision agriculture practice in 2023 (USDA NASS).
• 68% of large-scale crop farms — defined by USDA as farms with more than $1 million in annual income — used some form of precision agriculture in 2023 (USDA NASS).
• Try it: Estimated data points per season: —

Read together, those three numbers describe the actual shape of US satellite/precision-ag data volume: it is concentrated on a minority of large operations, and even among those large operations, satellite imagery specifically trails behind GPS guidance and yield mapping as the dominant data source. The volume of satellite-derived data flowing through US agriculture is smaller than the volume of GPS and yield-monitor data, which is a completeness distinction worth understanding before you go looking for a bigger satellite number that doesn’t exist yet.

For a US grower or analyst asking “how much data volume is there,” the honest answer is: USDA does not publish a terabyte or record-count figure, but it does publish what share of farms are generating that data, broken out by technology and farm size. That’s the number that exists — use the DTN summary of the 2023 NASS survey as your entry point, since NASS’s own microdata releases are dense and the DTN writeup maps the categories clearly.

Data Completeness: What USDA’s Numbers Do and Don’t Cover

Data completeness is the more precise term for what most searchers mean when they ask about satellite ag “data volume” — not how many bytes, but how fully a given data source covers the farms and practices it claims to describe. On that measure, USDA’s Technology Use Survey is the most complete public dataset for US precision agriculture, but it has real gaps:

• It reports satellite imagery as a single category, with no breakdown by constellation (Sentinel-2, Landsat, PlanetScope, or commercial providers). If you need constellation-level adoption, that split is not published anywhere by USDA as of this review.
• It does not report yield improvement percentage attributable specifically to satellite imagery use — studies exist at university and company level, but no USDA-wide percentage has been published.
• It does not report cost per acre to implement satellite monitoring, or a standard payback period for the investment. Those figures vary by provider and by farm, and no federal survey aggregates them.

Where completeness is strong: USDA NASS does break out adoption for GPS guidance/autosteering and for yield monitors/yield maps/soil maps, by farm size class, which is more granular than the satellite-imagery figure. In 2023, 70% of large-scale crop farms and 52% of midsize farms used GPS guidance autosteering systems, and 68% of large-scale crop farms used yield monitors, yield maps, or soil maps — all per the USDA ERS Chart of Note on precision agriculture adoption. USDA also reports that more than 50% of US acreage planted to corn, cotton, rice, sorghum, soybeans, and winter wheat used automated guidance systems in 2023, which is a crop-acreage completeness figure rather than a farm-count one — worth distinguishing when you cite it.

So: is the public data on US precision agriculture “complete”? For adoption share by technology and farm size, yes, reasonably — NASS re-surveys this periodically. For dollar ROI, yield lift attributable to satellites specifically, and constellation-level detail, no — those gaps are real and currently unfilled by any government source. If your work depends on one of those missing figures, the method is to run your own field trial or request the raw NASS microdata (available via USDA’s Quick Stats tool) rather than searching for a number that isn’t published.

Resolution and Volumetry: What’s Actually in a Satellite Pass

One concrete, checkable volumetry figure does exist: the spatial resolution of USDA’s own agricultural satellite product. The USDA NASS Cropland Data Layer, the government’s annual satellite-derived crop map covering the continental United States, was upgraded to 10-meter spatial resolution as of the 2024 program cycle, per USDA NASS’s own Cropland Data Layer FAQ page, up from the coarser resolution used in earlier program years. That 10-meter figure is a genuine “volume” answer in the remote-sensing sense: it tells you how many pixels cover a given field, and therefore roughly how much raw data the CDL product contains per acre mapped.

At 10-meter resolution, one acre of farmland is represented by roughly 40 pixels (an acre is about 4,047 square meters, and each pixel covers 100 square meters), each carrying a crop-type classification plus whatever spectral bands the underlying satellite source captured. That’s the practical unit of “data volume” a US farmer or analyst is actually working with when they pull a CDL layer — not an abstract byte count, but a per-acre pixel density that scales predictably with acreage.

The CDL updates annually, with new-year data typically released in the fall; check USDA NASS’s Cropland Data Layer program page for whichever year’s release is current when you read this, since the resolution and coverage specifications are revised periodically and this page will not chase that number forward for you.

Market Size: What the Adoption Numbers Are Worth

The dollar scale behind those adoption percentages: the US precision agriculture market was valued at $3.68 billion in 2025, against a global market of $9.50 billion in 2025, projected by Markets and Markets to reach $17.29 billion globally by 2031 — figures reported by Markets and Markets via Yahoo Finance. That puts the US at roughly 39% of the global precision-ag market by value in 2025, which is a useful sanity check against the US’s 27% farm-level adoption rate — the US carries disproportionate market value relative to farm-count adoption, consistent with the concentration on large operations described above.

Markets and Markets updates its precision agriculture forecasts on a periodic cycle; treat the 2031 figure as that firm’s projection as of its most recent published report rather than a fixed outcome, and re-check the same source link for any revision.

Adoption by Farm Size: The Real Split

Every figure in this article breaks the same way: adoption tracks farm size, not just technology type. The table below puts the USDA figures side by side so the pattern is visible in one place — something an AI-generated summary of “satellite agriculture” won’t hand you pre-sorted like this.

The consistent takeaway: whichever precision-ag technology you look at, large-scale operations run 15 to 55 percentage points ahead of the all-farm average. Satellite imagery specifically is the least-adopted of the technologies USDA tracks even among large farms, which is worth knowing if you’re benchmarking a farm’s or a vendor’s claimed adoption rate against the real federal baseline.

Calculator: Estimate Your Farm’s Satellite Data Volume

Using the 10-meter Cropland Data Layer resolution above, estimate how many data pixels a satellite pass generates for your own acreage, and see it against the 12% national satellite-adoption benchmark.

Assumptions: uses the 10-meter default resolution of USDA's Cropland Data Layer (2024 program cycle) as a baseline; actual commercial satellite products vary in resolution, band count, and revisit frequency by provider. This estimates raw pixel-band data points, not processed file size, and excludes derived layers like NDVI composites or ground-truthing data.

A Durable Method: How to Check This Yourself Next Year

Every figure above has a vintage attached, because every one of these sources refreshes on a schedule. Here's the checklist so you're not stuck re-Googling this page's numbers a year from now:

1. Adoption rates (satellite imagery, GPS, yield monitors, by farm size): USDA NASS's Technology Use Survey is not on a fixed annual cadence — the 2023 results were the most recent published as of this review. Check USDA NASS's Data and Statistics portal for the next release.
2. Cropland Data Layer resolution and coverage: updates annually, typically released in the fall following harvest. Check the CDL program page directly rather than trusting a cached resolution figure.
3. Market size and forecasts: Markets and Markets revises precision-ag market reports periodically; re-pull the current figure from the same publisher rather than compounding an old growth rate forward yourself.
4. Anything not listed here — cost per acre, ROI timeline, constellation-specific adoption — has no current federal publication. If you need it, the method is a direct grower survey, a vendor-disclosed case study with named methodology, or USDA's Quick Stats microdata tool for a custom cross-tabulation.

That's the spine of this page: not the numbers themselves, which will move, but the three-source method for finding the current numbers whenever you read this.

Where Farmonaut Fits: Monitoring, Traceability, and Fleet Tools

Farmonaut's platform sits inside the adoption categories described above — satellite crop monitoring, resource-use tracking, and the record-keeping layer that supply chains increasingly ask for. A few of the specific tools:

• Carbon Footprinting — tracks input-driven emissions at field level for compliance and reporting.
• Blockchain Traceability — field-to-buyer chain-of-custody records.
• Crop Loan and Insurance — satellite-based verification to support lending and coverage decisions.
• Fleet Management — equipment tracking and utilization across field operations.
• Large Scale Farm Management — the admin layer for multi-field, multi-user operations.

For developers who want to work directly with the underlying satellite and weather data rather than the consumer app, Farmonaut's API exposes programmable access, documented in the API Developer Docs.

FAQs