AI Crop Monitoring · No-Code

See every field breathe.

FlyPix AI is the no-code crop monitoring software that turns satellite and drone imagery into crop-health maps, stress alerts, and plant counts — covering thousands of hectares and saving up to 99.7% of manual scouting time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
NDVI SCAN · LIVE
SRC satellite + drone
AREA 8,640 ha
STRESS 37 zones · Δ +1.4%
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Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Scouting one farm by foot takes 997 seconds a field.
FlyPix AI takes 3.

A single farm can hold hundreds of hectares of variability no walking scout can cover in time. FlyPix AI reads crop vigour across every field at once, so problems surface while there is still time to act.

Manual review
997s
to review one dense scene by hand

Agronomists walk fields and eyeball samples, plot by plot. Coverage is thin, stress is found late, and the picture is out of date before the next pass.

VS
AI analysis by FlyPix
3s
for the same scene, fully detected

Up to 99.7% time saved. Consistent, georeferenced crop-health maps you can track week over week and export straight into your farm-management system.

99.7%
Time saved vs. scouting
10,000+
Active users
6+
Data formats supported
8,640ha
Mapped per pass
What is crop monitoring software?

Crop intelligence from above, without the code.

Crop monitoring software ingests imagery of farmland and analyses it to track crop health, growth, and stress over time. FlyPix AI is a no-code platform that uses artificial intelligence to compute vegetation indices, detect stressed or diseased areas, count plants, and flag change across satellite, aerial, and drone imagery. You upload your captures, label a few examples, and the AI engine maps every field — turning days of scouting into minutes of decision-ready insight.

Capabilities

Everything you need to monitor crops

One platform to map health, find stress, count plants, and track change across every field you farm — from a single plot to a whole operation.

Crop health & NDVI

Map vegetation vigour with NDVI and other indices to see exactly where crops thrive and where they struggle.

Early stress detection

Surface drought, nutrient, pest, and disease stress days before it is visible from the ground.

Plant counting & stand

Count plants and assess emergence and stand uniformity to catch gaps and replant decisions early.

In-season change

Compare repeat captures to track growth, recovery, and spreading problems through the season.

Management zones

Turn variability into zones for variable-rate seeding, fertiliser, and irrigation prescriptions.

No-code custom models

Train a detector for the exact crop, weed, or feature you care about by labelling a few examples — no programming.

How it works

From raw imagery to agronomy in four steps

A no-code workflow built so agronomists, growers, and co-op teams — not just data scientists — can run production-grade crop analysis.

STEP 01

Upload your imagery

Bring satellite, aerial, or drone captures of your fields in any common format — RGB or multispectral.

STEP 02

Label what matters

Mark a few examples of the crop, weed, or stress pattern you want to track. A handful is enough.

STEP 03

Let the AI map it

FlyPix builds a model from your labels and maps health, stress, and counts across every field.

STEP 04

Explore & export

Review results on interactive maps, then export management zones to your GIS or farm-management software.

FlyPix AI workspace showing AI object detection on geospatial imagery
Supported Data

One platform for every sensor over the field

Crop monitoring is more than true-colour pictures. FlyPix AI ingests the full range of imagery — read vigour and stress with multispectral and NDVI bands, fly fields with drones, and scale to whole regions with satellite — all in one workspace.

See all supported formats
RGB & true-color
Standard satellite, aerial & drone imagery
Supported
Multispectral
Vegetation, water & land-use analysis
Supported
Hyperspectral
Fine-grained material & spectral analysis
Supported
LiDAR
Elevation, volumes & 3D terrain
Supported
SAR (Synthetic Aperture Radar)
All-weather, day-or-night monitoring
Supported
API & GIS integration
Automate workflows, export vector layers
Supported
Why FlyPix

Why growers choose FlyPix AI

The platform removes the bottlenecks that slow crop monitoring: manual scouting, specialist headcount, rigid formats, and tooling that cannot keep pace with the season.

Insight in seconds

Map crop health across a whole operation in seconds instead of days of scouting — and repeat it on every new flyover.

A true no-code platform

Agronomists and growers train and run AI models on their own imagery — no programming, no data-science team.

Multi-sensor by design

Combine optical and multispectral imagery from drones and satellites and pick the right band for the question.

Scales to any acreage

Zoom into a single trouble spot or sweep an entire estate at the cadence the season demands.

Customer Reviews

What geospatial teams say

From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.

We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.

Hannes Olbrich
Hannes Olbrich
Head of Investor Office · acitoflux, Germany

FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.

Ali Tehranchi
Ali Tehranchi
CEO · Bayscenary, USA

FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.

Jordan Bates
Jordan Bates
Researcher · University of Liège, Belgium

What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.

Krishna Mohan
Krishna Mohan
Business Head · Stesalit Systems Ltd., India

FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.

Rohit Singh
Rohit Singh
Director · Intent to Solution, India

Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.

Robin Engelhard
Robin Engelhard
Chairman · Second Life e.V., Germany
Start monitoring

Turn your imagery into agronomy.

Create an account and map your first field with AI in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.

Try it now Request a demo Free to start · Set up with an expert
FAQ

Crop monitoring software, answered

The questions agronomists, growers, and advisors ask before switching to AI-powered crop monitoring.

What is crop monitoring software?
Crop monitoring software ingests imagery of farmland and analyses it to track crop health, growth, and stress over time. AI-powered platforms like FlyPix AI automatically compute vegetation indices such as NDVI, detect stressed areas, count plants, and flag change across satellite and drone imagery, turning days of field scouting into minutes of georeferenced insight.
Do I need coding or GIS expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload imagery, label a few examples of what you want to track, and the AI engine builds a model and maps your fields automatically — no programming or deep machine-learning knowledge required.
What imagery does FlyPix AI support for crop monitoring?
FlyPix AI supports satellite, aerial, and drone imagery in RGB and multispectral formats, so you can compute NDVI and other vegetation indices, and it exports management zones and vector layers to your GIS and farm-management tools.
Can FlyPix AI detect crop stress and disease?
Yes. By analysing vegetation indices and patterns across your imagery, FlyPix AI surfaces drought, nutrient, pest, and disease stress — often before it is visible from the ground — and you can train a custom detector for the specific condition you care about.
How does in-season change tracking work?
FlyPix AI compares imagery of the same fields captured on different dates and highlights how crops have grown, recovered, or declined between them, so you can monitor problems and progress through the season without manual comparison.
How much time can FlyPix AI save versus manual scouting?
FlyPix AI can save up to 99.7% of analysis time. In FlyPix benchmarks, dense-field interpretation that takes roughly 997 seconds by hand is completed by the AI engine in about 3 seconds.
Can I try FlyPix AI on my own fields?
Yes. You can create an account and start mapping your own imagery, or request a guided demo to see crop-health mapping, stress detection, plant counting, and custom model training applied to your fields.
See the season, decoded

See what your fields are telling you.

Join 10,000+ users automating image analysis with FlyPix AI. Upload your first field and watch the AI map its health in seconds.