Agricultural sensing & edge intelligence

Intelligence from the physical field.

Aeropixel develops sensing, computer vision and edge computing technologies that transform physical agricultural processes into actionable digital data.

Explore the technology Current projects
SENSING EDGE AI COMPUTER VISION GEOSPATIAL IoT
From sensor to ecosystem

Connecting the physical world with digital agriculture.

We design complete data acquisition chains — from sensing and embedded electronics to edge processing, cloud infrastructure and integration with agricultural platforms.

01
Sense

Optical, environmental, mechanical and custom sensing.

02
Edge

Local signal processing, computer vision and embedded intelligence.

03
Connect

Wi-Fi, cellular, LoRa, MQTT and industrial protocols.

04
Understand

Time series, geospatial processing and data analytics.

05
Integrate

APIs and interoperability with digital agriculture ecosystems.

FIELD / EDGE / CLOUD

Data begins
in the real world.

Physical intelligence

Build the missing link.

Digital agriculture depends on data that originates in the physical world. Aeropixel develops the sensing, electronics and edge intelligence required to create that data reliably.

ENVIRONMENTAL SENSING COMPUTER VISION EDGE INTELLIGENCE INDUSTRIAL I/O REMOTE TELEMETRY CLOUD INTEGRATION
Capabilities

Engineering across the entire data chain.

01

Smart sensing

Environmental, crop, soil and equipment sensing using commercial or custom instrumentation.

02

Edge computer vision

Embedded imaging and local processing for crop monitoring, vegetation indicators and structural analysis.

03

IoT & communications

Embedded acquisition systems using microcontrollers, Linux edge computers and industrial communication protocols.

04

Geospatial intelligence

Satellite imagery, UAV data, GIS and spatial analytics combined with ground measurements.

05

Cloud integration

Secure telemetry pipelines, APIs, databases and integration with digital agriculture software ecosystems.

06

Rapid R&D

Fast proof-of-concept development for AgTech teams that need to bridge software with the physical world.

01 / FIELD OBSERVATION
02 / CROP INTELLIGENCE
03 / PHYSICAL DATA
Experimental platform

Autonomous crop observation.

Exploring continuous field observation using low-power imaging, edge computer vision and environmental sensing.

PROTOTYPE / 01
● Prototype in development

Edge Crop Observer

A compact field imaging system designed to periodically observe crop canopies, process imagery at the edge and generate continuous optical and structural indicators without requiring continuous transmission of raw imagery.

OPTICAL RGB indicators
STRUCTURE Canopy geometry
PROCESSING Edge
OUTPUT Cloud / API
Imaging → Edge vision → Indicators → Cloud → AgTech
Interoperability

From a physical measurement to the platforms people already use.

Aeropixel explores the complete path from field instrumentation to cloud-ready information, allowing new physical data sources to become part of existing digital agriculture workflows.

SENSOR
→
EDGE
→
AEROPIXEL
→
CLOUD
→
AGTECH API
Engineering collaboration

When software needs a connection to the real world.

Aeropixel develops experimental sensing, edge computing and integration technologies for AgTech products and digital agriculture teams.