Farm technology ยท Evidence guide
Top Agricultural Technologies: 7 Compared With Data
GPS auto-steer, yield maps and variable-rate inputs lead US row-crop use. This guide compares seven farm technologies with adoption data, field trials and peer-reviewed studies, plus a calculator for camera-guided spraying.

Key takeaways
- Auto-steer covered 58% of US corn-planted acres in 2016, yield maps 43.7% and variable-rate application 37.4% (USDA ERS).
- Fewer than 25% of the smallest US row-crop farms (first acreage quintile) used yield maps, soil maps, variable-rate technology or guidance, except cotton farms (USDA ERS).
- A 2024 Iowa State demonstration on five soybean fields cut herbicide use by 76% on average with camera-guided spraying; the range ran from 43.9% to 90.6%.
- Modeled hydroponic lettuce used 20 L of water per kg against 250 L for field lettuce but 82 times more energy (Arizona State, 2015).
- A 2026 Purdue analysis found most commercial corn and soybean farms are not yet in the cost range for large autonomous machines.
In this article
- Top agricultural technologies at a glance
- How we chose and checked these seven
- 1. GPS guidance, yield maps and variable-rate inputs
- 2. Satellite crop monitoring
- 3. Camera-guided precision spraying
- 4. Greenhouses, hydroponics and vertical farms
- 5. Autonomous machines and robots
- 6. Gene editing
- 7. Agroforestry
- What to ask before you buy any of them
- Older practices that still work
- How to choose where to start
- FAQ
The top agricultural technologies in use on US farms are GPS auto-steer, yield maps and variable-rate inputs. Auto-steer covered 58% of US corn acres in 2016, yield maps 43.7% and variable-rate application 37.4%, according to the USDA Economic Research Service. Newer tools follow: satellite monitoring, camera-guided sprayers, controlled-environment growing, autonomous machines, gene editing and agroforestry.
This guide compares seven of them with dated numbers from government agencies, universities and peer-reviewed journals. It shows what each tool does, what the evidence says and who it suits. It also has three charts and a calculator that tests whether camera-guided spraying could pay on your acres.
Top agricultural technologies at a glance
The table sums up the seven technologies. Each has its own section below with the source behind the numbers.
| Technology | What it does | Evidence in this guide | Best for |
|---|---|---|---|
| 1. GPS guidance and maps | Steers machines and varies inputs by zone | Auto-steer on 58% of US corn acres in 2016 (USDA ERS) | Row-crop farms with larger acreage |
| 2. Satellite monitoring | Tracks plant cover and stress through the season | NDVI rises with leaf density (NASA) | Scouting large or remote fields |
| 3. Camera-guided spraying | Sprays only the weeds it sees | 76% average herbicide saving on five soybean fields (Iowa State, 2024) | Fields with patchy weed pressure |
| 4. Controlled environment | Grows crops indoors under lights or glass | Hydroponic lettuce model: 20 L of water per kg against 250 L (Arizona State, 2015) | Leafy greens near cities |
| 5. Autonomous machines | Runs tractors and robots without a driver | Most corn and soybean farms not yet in the cost range in a Purdue model (2026) | Labor-short large farms |
| 6. Gene editing | Changes plant traits in the breeding stage | EU rules adopted in 2026, expected to apply from mid-2028 | Seed companies and breeders |
| 7. Agroforestry | Grows trees with crops or livestock | 43% of world farmland had 10% tree cover or more in 2010 (Scientific Reports) | Mixed farms, erosion-prone land |
How we chose and checked these seven
We picked tools that have either national adoption data, field trials or a peer-reviewed analysis. We left out ideas that only have company claims. Every figure carries its source and year, and we say what it measures.
Adoption data are mostly from the US because the USDA runs detailed adoption surveys. A tool that is common on a 2,000-acre Iowa corn farm may not suit a 50-acre vegetable farm in the UK, so check your own scale and crop before you buy anything.
1. GPS guidance, yield maps and variable-rate inputs
This group is the base of precision agriculture. A GPS receiver steers the tractor along exact lines. A yield monitor records grain flow as the combine moves, which makes a yield map. A variable-rate controller then changes seed, fertilizer or lime by zone instead of spreading one rate over the whole field.
The USDA Economic Research Service tracked these tools on six major row crops. Auto-steer on corn rose from 5.3% of planted acres in 2001 to 58% in 2016. In 2019, GPS applications were used on 40% of all US farm and ranchland acres. The same report found that at least half of relatively large row-crop farms used yield maps, soil maps, variable-rate technology or guidance, while, except for cotton, fewer than 25% of the smallest farms (first acreage quintile) did.
Uptake differs by tool.
Soil maps stayed below 25% of planted acres for every crop surveyed, a pattern ERS says is consistent with many Central US farmers sampling soil only every three to four years. The chart shows the corn figures for 2016.
Where a farm sits matters too. A January 2026 University of Illinois farmdoc daily analysis of the USDA NASS Technology Use report found that the highest shares of farms using precision agriculture in 2023 cluster in the Midwest, where large corn and soybean farms spread the fixed cost of the add-ons over many acres. It names California as an exception, where high land and labor costs, water scarcity and specialty crops make better irrigation and input targeting pay even on smaller operations.
What this means for a buyer: USDA ERS links the fast spread of guidance to the potential for lower input costs from fewer skips and overlaps. Yield maps and variable-rate inputs only pay when your fields really vary, so check a few years of yield data before paying for prescription services.
Chart
Share of US corn acres using each tool
% of corn-planted acres, 2016 survey year
2. Satellite crop monitoring
Satellites such as Sentinel-2 and Landsat photograph every field on a regular schedule. The most common crop index is NDVI. NASA explains that chlorophyll absorbs visible light while leaf cells reflect near-infrared light, so a field with more leaves gives a higher NDVI. Values near 0.8 to 0.9 mean the densest green cover.
That makes satellite maps good at one job: showing where a crop is thinner, slower or greener than the rest of the field. They do not name the cause. A pale patch can be waterlogging, compaction, nutrient shortage, pests or a planting skip. Walk the spot before you act, and follow the product label and local rules before any treatment.
NASA also notes that satellite sensors can show drought stress, because a plant that absorbs less sunlight during the growing season is photosynthesizing less. In practice, a simple routine works well. Check the map every week or two, mark the zones that drift away from the field average, walk those zones, and write down what you found. After a season or two you will know which patterns on the map matter on your soils.
Tools differ in image size, revisit time and price. The Farmonaut Satellite + AI Farm Monitoring System is one example that draws your field boundary on a map and shows vegetation images through the season on web and mobile apps. Compare several tools on a trial field before you commit.
โถ Six plain steps to start precision farming, from field maps to satellite monitoring. ยท 4:18
3. Camera-guided precision spraying
These sprayers carry cameras along the boom. Software spots weeds in real time and switches single nozzles on only where a weed sits. Iowa State University describes two kinds: “green on brown” systems that find weeds on bare soil, and “green on green” systems that tell weeds from the crop.
Chart
Herbicide saved on five soybean fields
% less herbicide than a broadcast pass, one Iowa demonstration, 415 acres in total, 2024
In a 2024 Iowa State demonstration on five soybean fields totaling 415 acres, herbicide savings were 90.6%, 87.6%, 87.2%, 71.2% and 43.9%. The average was 76%, or nearly $6,500 ($15.70 per acre) in chemical costs. Savings followed weed pressure: the cleanest field saved the most. This was one demonstration in one wet spring, not a guarantee.
Why does weed pressure matter so much? A broadcast sprayer covers every square foot whether or not a weed is there. A camera sprayer pays only for the area it treats. With few weeds, the cut in chemical use is large. With a dense stand, most nozzles stay on and the saving shrinks. Fields with a poor pre-emergence result, as Iowa saw in the wet spring of 2024, are the ones where the technology gets tested hardest.
The same Iowa State note lists the setup these systems need: steady boom height control, individual nozzle control, compatible nozzles, boom recirculation and a travel speed limit of 10 to 15 mph for most makes. Use the calculator below with your own herbicide cost and the fee or extra machine cost you would pay. Always apply products at the labeled rate and follow local rules.
Try the numbers for your own farm below.
Calculator
Could camera-guided spraying pay on your acres?
Enter your own acres, herbicide cost, expected saving and extra cost per acre.
- Herbicide saved per acre (US$): $6
- Break-even saving needed: 27.5 %
- Herbicide cost avoided in total (US$): $6,000
Example values only, not a benchmark or a forecast; every number is your input. Price inputs are examples, use today’s price. Iowa State measured a 76% average saving on five fields in 2024, with a range of 43.9% to 90.6%, so your saving depends on weed pressure. The extra cost per acre is a placeholder for any technology fee or machine cost you would pay. Follow the product label and local rules.
4. Greenhouses, hydroponics and vertical farms
Controlled-environment growing moves crops into glass or sealed rooms. Hydroponics feeds plants with a nutrient solution instead of soil, and vertical farms stack the trays under LED lights. The US Agricultural Research Service notes that such farms can grow crops year-round wherever a building can be set up, which brings fresh produce close to cities.
A 2015 Arizona State University study compared lettuce in Yuma, Arizona. A modeled hydroponic greenhouse gave 41 kg per square meter a year against 3.9 kg for field lettuce. It used 20 liters of water per kg against 250 liters. But it needed 82 times more energy per kg. The paper says its hydroponic figures come from engineering equations and literature values, not from a farm audit.
In the Arizona model, heating and cooling used most of the energy, 74,000 of the 90,000 kJ per kg, followed by supplemental lighting. A fully stacked vertical farm pays for every photon with electricity. When you read a claim of “95% less water”, ask what crop, what climate and what energy it used.
Energy is the limit. A 2025 analysis in Plant Physiology cites a commercial vertical farm that used about 10 kWh of electricity per kg of lettuce. It puts the current minimum cost near $10 per kg of dry plant matter, so vertical farming is not competitive with wheat, rice or soybeans. It also finds that the climate benefit depends on how clean the power is. The paper finds limited competitiveness even for tomatoes and lettuce, and some climate benefit for low-dry-matter crops such as lettuce only with solar power.
Chart
Lettuce: water and energy, field vs hydroponic
Yuma, Arizona; field crop budgets against a modeled hydroponic greenhouse; liters of water per kg of lettuce
Chart
Lettuce: energy per kg, field vs hydroponic
MJ per kg of lettuce a year, same study
5. Autonomous machines and robots
Autonomy covers driverless tractors, weeding robots and spray drones. The field is moving fast, but the economics are not settled. A Purdue University study modeled large autonomous machines on a Midwest corn and soybean case-study farm across 72,000 scenarios. Purdue’s summary in February 2026 says that at today’s performance and cost levels most farms are not yet in the cost range for autonomy. Labor cost is the tipping point, and the first fits are labor-short or expanding farms.
Automation also changes the job mix. A January 2026 University of Illinois farmdoc daily article uses US Bureau of Labor Statistics data to count about 36,830 farm equipment mechanics and service technicians in 2023. It reports that industry sources cite a shortage of technicians, which can mean longer waits for repairs at planting and harvest.
For most buyers, the practical step is to ask what labor the machine replaces, what the dealer can service and how many hours a year it will run. Fleet and equipment tracking tools can help you measure those hours first.
โถ What farm technology means for money, jobs and internet in rural towns. ยท 3:50
6. Gene editing
Gene editing, including CRISPR, makes targeted changes to a plant’s own DNA during breeding. The rules differ by region and are still changing. In May 2026 the Council of the EU adopted a regulation on new genomic techniques, and the European Parliament approved it at second reading on 17 June 2026. Category 1 plants, judged equivalent to conventional varieties, are exempt from GMO law and need labels only on seed. Category 2 plants remain under GMO rules. The Council expects the framework to apply from mid-2028 (EU IP Helpdesk, 5 May 2026).
Gene editing differs from older genetic engineering in one practical way: a trait can be changed without adding DNA from another species, so the EU framework treats some edited plants like conventionally bred ones. The US National Academies noted in 2016 that a nonbrowning apple, made with newer methods, was among crops approved for US production in 2015.
For context, the US National Academies reported in 2016 that only two engineered traits, insect resistance and herbicide tolerance, had been widely used. Varieties with those traits were grown on about 12% of the world’s planted cropland in 2015. The Academies avoided broad claims about benefits or harms, because effects differ by trait. Check the rules of your country, your buyers and your certification scheme before you plant any edited variety.
7. Agroforestry
Agroforestry is an old practice with a new use: it puts trees into crop and pasture systems to build soil, shade animals and store carbon. A global analysis in Scientific Reports found that in 2010 about 43% of agricultural land had at least 10% tree cover. Tree cover was moderate, 10% to 30%, across much of central and western Europe and the Midwest of North America, and low in the northern prairies and southwest Australia.
On a working farm, the first question is where trees will not slow the machines or shade the crop too much. Hedgerows on field edges, windbreaks on the windward side and trees in pasture corners are common starting points. Local extension services can give species lists and spacing for your climate.
Trees contributed over 75% of the estimated 45.3 petagrams of carbon held in biomass on agricultural land in that study. Because that is an estimate built on IPCC default values, treat it as a global order of magnitude, not a figure for your farm. Shelterbelts, alley cropping and silvopasture are common choices on mixed farms. They need patience: trees take years to pay back.
โถ Seven green farming technologies that save water, fuel and fertilizer, explained plainly. ยท 2:24
What to ask before you buy any of them
| Technology | Ask the seller | Check yourself |
|---|---|---|
| GPS guidance | Which signal and accuracy level is included? | Do your machines already have a receiver? |
| Yield maps | Who owns and exports the data? | Do your yields vary by zone? |
| Satellite maps | How often are new images shown? | Can you walk flagged zones fast? |
| Camera sprayers | What are the fees and speed limits? | Is weed pressure patchy? |
| Controlled environment | What is the energy use per kg? | What is your power price and source? |
| Autonomy | Who services it at planting time? | Which labor task does it replace? |
| Edited varieties | Is the variety approved where I sell? | What do my buyers allow? |
| Agroforestry | Which species suit my climate? | Where will trees not block machines? |
Older practices that still work
Crop rotation, intercropping, cover crops and good drainage remain the base of any farm plan. Several of the tools above only add value on top of them. A variable-rate map cannot fix a poor rotation, and a robot cannot fix compacted soil. Start with the practice that costs least per acre, then add tools where your own records show variation.
The same approach applies in forestry. Satellites and drones help managers watch large stands for pests, storm damage and illegal clearing, but silviculture and local rules decide what happens next.
How to choose where to start
- List your biggest cost or loss by crop: seed, fertilizer, herbicide, labor, water or lost yield.
- Find the tool that targets it and the evidence at your scale, using the table above.
- Run a one-season trial on one or two fields.
- Keep a record of the input, yield and cost for the trial fields and for a matched control.
- Scale up only if the net result beats the control after the fees, repairs and your time.
Developers and agtech teams that need field boundaries, imagery or weather inside their own software can look at the Farmonaut satellite data API.
FAQ
What are the top agricultural technologies?
By national adoption data, GPS auto-steer, yield maps and variable-rate inputs lead on US row crops. Satellite monitoring, camera-guided sprayers, controlled-environment growing, autonomous machines, gene editing and agroforestry are the other main groups covered here.
Which farm technology is the most widely used?
Guidance is the most widely used, reaching 58% of corn acres in 2016 (USDA ERS). Camera-guided spraying showed a 76% average herbicide saving in one 2024 Iowa State demonstration. The result depends on weed pressure, so test it on your own fields.
Is vertical farming good for the environment?
It saves water and land per kg of lettuce but uses a lot of electricity. A 2025 analysis in Plant Physiology finds that the climate result depends on the power source and that the benefit is limited for staple crops.
Are gene-edited crops allowed in Europe?
The EU Council adopted new rules in May 2026 and the European Parliament approved them on 17 June 2026. We found no Official Journal publication yet, so treat them as not yet in force. Plants judged equivalent to conventional ones are exempt from GMO law, except for traits such as herbicide tolerance, and the framework is expected to apply from mid-2028. Other plants stay under GMO rules.
Can small farms use precision agriculture?
USDA found lower use on the smallest row-crop farms, with fewer than 25% using yield maps, soil maps, variable-rate technology or guidance, except for cotton. Tools with no hardware to buy, such as satellite maps, are easier for small farms to try.
This guide is general information, not advice. Pesticide, fertilizer, legal and financial decisions need the product label, local rules and a qualified advisor.
Related pages on our site: irrigation methods, farm tools, agroforestry, forest management, timber production, fleet tracking, product traceability, carbon footprinting, large-farm management, satellite weather data.
Farmonaut satellite data API
Build field imagery into your own software
Agtech teams can pull satellite imagery and weather data into their own apps through the Farmonaut API.

Sources
- USDA ERS, Precision Agriculture in the Digital Era: Recent Adoption on U.S. Farms, EIB-248 (February 2023): ers.usda.gov
- Iowa State University Extension, Precision Spraying Technology (22 August 2024): crops.extension.iastate.edu
- Barbosa et al., Comparison of Land, Water, and Energy Requirements of Lettuce Grown Using Hydroponic vs. Conventional Agricultural Methods (2015): doi.org
- Plant Physiology, Vertical farming limitations and potential demonstrated by back-of-the-envelope calculations (2025): pmc.ncbi.nlm.nih.gov
- USDA ARS, Vertical Farming: No Longer A Futuristic Concept: ars.usda.gov
- Purdue University Center for Commercial Agriculture, When Will Autonomous Farm Equipment Actually Pay? AgCast 206 (2 February 2026): ag.purdue.edu
- University of Illinois, farmdoc daily, The People Behind the Machines (5 January 2026): farmdocdaily.illinois.edu
- EU IP Helpdesk, Council Adopts Regulation on New Genomic Techniques (5 May 2026): intellectual-property-helpdesk.ec.europa.eu
- National Academies, Genetically Engineered Crops: Experiences and Prospects, summary (2016): nationalacademies.org
- Zomer et al., Global Tree Cover and Biomass Carbon on Agricultural Land, Scientific Reports (2016): pmc.ncbi.nlm.nih.gov
- NASA Earth Observatory, Measuring Vegetation (NDVI and EVI): science.nasa.gov
- European Parliament, Texts adopted P10_TA(2026)0206, legislative resolution of 17 June 2026 on plants obtained by certain new genomic techniques: data.europarl.europa.eu
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