975,000+ acres monitored. 107,000+ fields mapped by customers in 135 countries.
Farmonaut turns satellite imagery into actionable insights for every field. It reads what satellites see and tells you, field by field, how much water your crops need, which nutrients are lacking, and where pests or diseases may be emerging. It is agriculture software for remote crop monitoring, a crop monitoring app and precision agriculture software in one: map your fields once, from a phone or a browser, and the advice arrives every few days.
Just satellite data, turned into decisions.
The real product, redrawn for clarity from our demo field: the map you draw a field on with its farm advisory, and the Today page that turns it into what to do next.
less water than running the sprinklers every day, on a 190-acre wheat, barley, oats and alfalfa farm.
Their own estimates, checked against what their reports recommended.
Four fields, four crops, four different answers. Teal squares are millimeters of water; cream squares say do not water.
17 of 28 field-days say stop โ 51% less water than running the sprinklers every day.
Every percentage is the customerโs own estimate, shared through the appโs feedback form โ then checked against what their reports actually recommended.
โGreat app helps me in the field.โโ 5-star app-store review
โFarmonautโs report helped me optimize my irrigation.โโ From his feedback-form answers
โWith Farmonautโs reports we optimized irrigation by 30โ50% and fertilizer use by more than 70% โ and acted on pests, disease and weeds.โโ From their feedback-form answers
โFarmonautโs reports helped us optimize both irrigation and fertilizer by 30โ50% โ and act on pests, disease and weeds.โโ From their feedback-form answers
โI check my cropโs general health and irrigation status with the reports. The Farm Advisoryโs Organic Fertilizer Management has helped me a lot โ Iโve seen improvement since using Farmonaut!โ
โFarmonaut helped me optimize irrigation by 50โ70% and fertilizer by more than 70% โ and act on pests, disease and weeds.โโ From their feedback-form answers
The line under each card is what we found. Where a customer answered our feedback form rather than writing a review, their comment is written from those answers and says so โ read every full write-up at farmonaut.com/case-study.
These farmers started with one field each. See what the same reading says about yours.
Analyze your farm โWe turn every field into clear instructions, every few days โ water in millimeters, fertilizer in kilograms, pest risk with a probability โ using satellite data and AI, with no sensors, drones or field visits.
Different farms need different answers. Here are two real examples of how Farmonaut is being used to make those decisions clearer. Both are published in full at farmonaut.com/case-study.
โGreat app helps me in the field.โ
His 5-star app-store review, December 2025. In the in-app feedback form (June 2026) he answered Yes for irrigation, fertilizer and pests, and put both irrigation and fertilizer at 30โ50% better.
He manages 25 blueberry blocks across 124 acres. Over the week we examined, the reports recommended no water on 78 of 175 block-days and no fertilizer on 8 of the 25 blocks โ helping him avoid applications where they werenโt needed.
Not a trial plot. A working commercial farm, monitored continuously for nearly six months before the farmer asked whether it was worth it. During the week we examined, his 25 blocks were at four different growth stages at the same time โ making field-by-field monitoring far more useful than a single whole-farm average.
Read the full case study โ
โWith Farmonautโs reports we optimized irrigation by 30โ50% and fertilizer use by more than 70% โ and acted on pests, disease and weeds.โ
From their feedback-form answers, 7 June 2026
They manage 15 mapped fields across 630 acres, growing 10 different crops โ including apple, pear, peach, plum, apricot, cherry, grape, raspberry, melon and cotton. Each crop is at a different stage of its growing cycle, so every field gets advice based on its own conditions.
The clearest proof that the advice is truly crop-specific: the apple field was flagged for one scab fungus, while the pear field was flagged for a different one. The advice doesnโt just spot a disease โ it identifies the right disease for the right crop.
Read the full case study โ
This 190-acre farm grows durum wheat, barley, oats and alfalfa. Each field was monitored separately, taking into account the crop, its stage of growth, soil conditions and weather. Over one week, the recommendations were different for every field. Some needed water. Others needed less as harvest approached. Fields that were already finished were told not to water at all.
The result was simple: instead of running the sprinklers every day, the farmer had a schedule showing exactly how much water each field needed โ and which days to leave the sprinklers off.
This is the case that reads across to anywhere water is pumped and expensive โ California, Spain, Australia, the Texas High Plains.
This is what field-level monitoring changes: you donโt get one irrigation recommendation for the farm. You get the right recommendation for each field, on each day.
He confirmed in our in-app feedback form (May 2026) that the report helped him water better. The 51% figure comes from his own seven-day schedule compared against watering every day.
Read the full case study โCustomer feedback, monthly renewals and what the advisories found โ from Kenyan maize and Illinois corn to Greek olives, Western Cape avocados and a 93-field farm in Tajikistan. Every card links to the full case study at farmonaut.com/case-study.
Northern KenyaCustomer feedbackMaize
Read the case studyIllinois โ OntarioRenews monthlyCorn, soybean, apple
Read the case study
East Java, IndonesiaRenews monthlyMango
Read the case study
Transylvania, RomaniaRenews monthlyBlueberry
Read the case study
Western Cape, South AfricaWater savedAvocado
Read the case study
Central Victoria, AustraliaWater savedWine grapes
Read the case study
Luxor, EgyptWater savedMango, table grapes
Read the case study
Gafsa, TunisiaWater savedAlmond, pistachio
Read the case study
Terengganu, MalaysiaWater savedOil palm, durian
Read the case study
Crete & Peloponnese, GreecePest & diseaseOlive
Read the case studyWillamette Valley, OregonPest & diseaseBlueberry
Read the case study
Tauragฤ, LithuaniaPest & diseaseWinter wheat
Read the case studySierra Nevada foothills, CaliforniaPest & diseaseTurf
Read the case study
Ontario & Rio Grande do SulPest & diseaseApple
Read the case study
Northern TajikistanScale & timing9 crops
Read the case studyIllinois & IowaScale & timingCorn
Read the case studyWestern North CarolinaScale & timingPine
Read the case studyAppling & Bacon Counties, GeorgiaScale & timingBlueberry
Read the case study
Ucayali, PeruScale & timingOil palm nursery
Read the case studyEl Ksar & Beni Khalled, TunisiaScale & timingAlmond, pistachio, olive, lemon
Read the case studyHealthy crops absorb red light for photosynthesis and reflect near-infrared light โ a part of the spectrum our eyes cannot see. When plants come under stress, their near-infrared response changes before visible signs appear.
Satellite crop health monitoring reads that change across every 10 meters of every field, on the same schedule, whether or not anyone had time to walk it this week โ when there is still time to act.
Soaks up red light to feed itself, and throws almost all the hidden light straight back.
Stops feeding, so it reflects more red and much less hidden light. This change shows first.
A scout walks one line across a block. The satellite reads the whole field. The hidden-light reading falls about two weeks before the color changes โ that gap is where yield is saved or lost.
Schematic, to show the idea โ not measured data.
What the hidden-light reading does in the two weeks before the color changes โ and why walking the field cannot close that gap on its own.
Every few days, Farmonaut turns satellite imagery, field history and local conditions into clear answers. You see whatโs changing, how much it matters and what needs your attention โ precision agriculture without precision-farming equipment. No GPS kit, soil probes or drones.
Add a field by searching its address, drawing the boundary yourself, or uploading an existing map file.
Two kinds of satellites pass overhead. One captures color and hidden wavelengths that reveal crop stress. The other sees through cloud, smoke and haze โ keeping your field record moving.
Greenness. Early stress. Water inside the plant. Soil moisture. Organic matter. Slope. Each reading answers a different question about the same field.
We combine satellite data with your soil history, local weather and your cropโs normal calendar โ specific to your field and the date.
Water requirements in millimeters, fertilizer in kilograms, pest risks with probabilities โ and the reason behind every recommendation.
Map โ the field map with its farm advisory alongside โ field status, countdowns, yield, soil and pest risk
A clear health map of your field in five levels โ healthy, light, moderate, high and very high stress. Zoom in to any area.
Acres in each health levelThe exact water requirement for your field and the best time to irrigate, based on the crop stage and weather โ irrigation scheduling, field by field.
Millimeters per day, next 7 daysSoil acidity, salinity and organic matter, with simple field-level insights for each reading.
A reading per soil parameterAn updated yield estimate as the season progresses, with the reason behind every change.
Yield per acre + expected harvest dateThe pest or disease risk for your crop, with a probability score and the key conditions behind it.
Risk probability + two control optionsWhich nutrients your crop needs, how much to apply and when, based on your fieldโs current condition.
Dose for each of 5 nutrientsIf the right recommendation is apply nothing, weโll tell you that too. Across the fields weโve analyzed, some of the biggest savings came from avoiding unnecessary applications.
Analyze your farm โ
A real customer field, opened end to end: the health map, the water schedule, the fertilizer doses, the pest warning โ including the moment it flagged a fall in yield the farmer had not seen coming.
Analyze your farm โSee early crop growth clearly, even when exposed soil makes standard satellite readings misleading.
See differences within a dense canopy and spot early signs of stress, including potential nitrogen shortage.
Know how much water your crop and soil hold, how quickly it is being used, and where the field needs attention.
Organic matter, elevation, slope and what is growing where โ the fundamentals of the field.
Keep monitoring through monsoon, fog and smoke with radar imagery, so the field record stays continuous.
See where each nutrient stands against the cropโs requirement, with the dose for each one. On one Florida farm, 8 of 25 blocks were told to apply nothing; on a Nigerian groundnut field, the advice was to skip nitrogen completely โ the crop makes its own.
Know which pest, disease or weed puts the crop at risk, why it was flagged and two treatment options โ organic and chemical. On one account the apple field was flagged for one scab fungus and the pear field for a different one.
From broad-acre crops to specialized fruit and tree crops, the same satellite crop monitoring system works across 166 crops. The figures count only fields where the farmer has named the crop, so real coverage is likely higher โ and adding a new crop doesnโt mean building a new system.
The acre figure beside each bar shows the actual area monitored, with the number of countries growing each.
Beyond these twenty: coffee, potato, blueberry, banana, mango, olive, groundnut, cassava and around 130 more.
Growing a crop that isnโt on the list? Tell us the crop and where it is โ the system is not limited to these 166.
Contact us โFarmers in 135 countries use satellite data to monitor their fields. The darker the map, the more acres we monitor there. The same technology works across crops, climates and countries โ in the language you choose.
Hover a shaded country to see the acreage monitored there, or click it to open the platform โ
India460,677
Uzbekistan273,945Algeria20,533Egypt18,398United States17,757Australia15,193Nigeria15,008Brazil9,677Tajikistan7,547
Sri Lanka7,464
United Kingdom7,416Peru5,172
United Arab Emirates5,082
Taiwan5,025
Uruguay5,006
Argentina4,683South Africa4,605
South Korea4,532Indonesia4,472
Tanzania4,396
Vietnam4,318Kenya4,234Namibia4,222
Iran4,125
Zambia3,015
Zimbabwe2,966
Ivory Coast2,804
Israel2,644
Kazakhstan2,227Malaysia2,031
Nepal1,832
Morocco1,747
Canada1,580
Italy1,193
Republic of Serbia1,004
Cameroon1,001
Rwanda988
Spain943
Lebanon940
Colombia937
Mexico908
Bolivia863
Venezuela841
Chile836
Lesotho804
Austria791
Ukraine782
Panama779
Turkey742
Iraq725Greece719
Germany719
Libya658
Philippines638
Somaliland604
Paraguay568
Azerbaijan546
Czechia523Tunisia513
New Zealand466Romania432
Saudi Arabia427
Senegal421
Jordan397
Botswana368
Bangladesh351
Benin344Lithuania339
Dominican Republic333
Poland329
Ghana321
Sierra Leone305
Yemen292
Cambodia281
Ethiopia272
Uganda270
Georgia258
China256
Angola206
Nicaragua179
Ecuador170
France169
Thailand140
Portugal126
Sweden114
Mauritania98
Liberia93
Denmark87
Honduras86
Croatia74
Bulgaria68
Costa Rica60
Sudan55
Turkmenistan47
Madagascar46
Hungary45
Norway44
Puerto Rico44
Laos43
Oman39
Mali38
Slovakia34
Syria33
Niger33
Fiji32
Chad31
Bosnia and Herzegovina30
Kyrgyzstan18
Palestine16
Slovenia15
Democratic Republic of the Congo14
Jamaica12
Malawi11
Finland9
Qatar9
Ireland7
Latvia6
Togo5
Moldova5
Japan5
East Timor4
Cyprus4
Guatemala3
Myanmar3
Burundi2
South Sudan1
Cuba1From farmers and plantations to co-operatives, agri-input companies, farm-management services and food buyers, businesses across the agricultural value chain use the platform as their farm management software. Businesses are counted by trading name; universities and colleges are shown separately, as their accounts are used for teaching and research.
Students and faculty are already using Farmonaut to work with real fields and real satellite data โ giving the next generation of agricultural professionals hands-on experience with modern crop monitoring.
418332221111111111111It matters commercially in one plain way: farm-science graduates who learned to read a crop-health map on this platform turn up at their first job already knowing how to use it.
Independent researchers with no commercial relationship with Farmonaut have examined how farmers adopt the system, how the technology is built and its measured impact on water use.
Springer ยท A book chapter on how AI is changing crop farming. It names our tools and the situations they suit.
Int. Journal of ICT Development & Communication ยท How farmers in two districts actually took up our system โ and where they struggled. Critical, not friendly, and the one to read first.
Journal of Enterprise Information Management ยท Describes us as an implementation partner for verified, ethical sourcing.
Springer ยท Reports systems supported by us and local NGOs saving up to 50% of water.
Circularity Letters ยท Lists our services as reachable both by phone app and by API.
Google Scholar ยท Run the same search we ran and read the rest, including the parts we would not have chosen.
An agriculture data API that gives your product access to satellite imagery, field readings, reports and recommendations. Build it into your own platform and give your users crop intelligence without building the remote sensing technology yourself.
Share the field boundary in a single API call.
We process the satellite data and generate the readings, report and recommendations for that field.
Receive everything as structured JSON, ready to display in your own software.
Your brand on the reports. Seven partners already do.
Your code, your commission, a dashboard that tracks it.
Keep 2,470 acres or more under watch and unused credits carry to next month.
Try a real call in Postman before you write any code. The public workspace sends one request with your key and shows exactly what comes back.
Map one field you already manage and get a fresh crop health report after the next satellite pass. No pilot project or long-term commitment โ just real precision agriculture technology, priced per field.
Short answers on how it works, what it costs and how it fits with the tools you already use.
Satellite crop monitoring uses images taken from space every few days to measure crop health, water stress and growth on each of your fields. Farmonaut turns those readings into field-level advice: how much water in millimeters, how much fertilizer in kilograms and which pests or diseases are a risk, with a probability.
Every few days. New satellite passes are processed as they arrive, and radar data keeps readings coming when clouds block the optical images.
Farm monitoring is a subscription priced by the area of the fields you monitor, and you can choose and pay for a plan online at sat.farmonaut.com. See pricing for the plans.
No. Everything comes from satellite data, so there is nothing to install. You draw or upload your field boundaries and the monitoring starts from the next satellite pass.
166 crops so far, from corn, wheat and soybeans to vineyards, orchards, blueberries and oil palm, on fields in 135 countries, including the United States, Canada, Australia and across Europe.
It is precision agriculture software for crop monitoring and field advice. It works alongside the farm management software you use for records and accounting, and the data can be pulled into those tools through the Agriculture Data API.
The best crop monitoring app is the one that tells you what to do on each field, not just how green it looks. Check for field-by-field updates every few days, water and fertilizer advice in real units, pest and disease risk, mapping of your own field boundaries, coverage of your crops and an API if you run your own software. Farmonaut covers all six; the Crop monitoring software section above shows the screens.
Yes. The Agriculture Data API returns the same field views the platform draws (crop health, water stress and the other indices), the values behind each picture and the full field report, so agribusinesses, insurers and software teams can build it into their own products.
Share your code with the growers you already work with. When they monitor their fields with Farmonaut, you earn a share of what they spend โ tracked on your own dashboard.
Customer percentages are their own estimates, checked against their own reports. Real product screens, captured September 2026. Areas in acres, rounded down.
Crop monitoringAnalyze your farm
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Farm monitoring
Mark your boundary once โ satellites watch it for you, every few days.
Farms in 134 countries, including
