Deploying robust edge IoT, satellite imagery processing and predictive data platforms to optimize precision farming at scale.
Commercial agriculture is undergoing a massive shift driven by IoT sensors, autonomous machinery and climate analytics.
We engineer resilient edge architectures that allow vast, disconnected farms to process telemetry locally and sync with global supply chain networks.
AgriTech operates in environments with the lowest connectivity reliability, requiring robust offline-first software architectures.
Engineering for agriculture involves integrating diverse datasets—from soil moisture sensors and drone imagery to global commodities pricing.
Weather and climate volatility require highly dynamic, real-time adjustment of farming operations.
The need to precisely apply water and chemicals only where needed to reduce costs and environmental impact.
Meeting consumer and regulatory demands for "farm-to-table" traceability.
Operating advanced technology in rural areas with little to no cellular or broadband coverage.
Deploying hardware that can survive extreme temperatures, dust and moisture.
Ensuring farm management software and autonomous tractors function perfectly without internet access.
Ingesting and processing massive multi-spectral drone and satellite image files.
Processing soil moisture IoT data locally via LoRaWAN to trigger automated, localized irrigation.
Using computer vision models on satellite imagery to forecast crop yields.
Logging harvest and processing events to an enterprise blockchain for verifiable organic certification.
Edge nodes must act as local gateways, caching data for days if necessary until a connection (e.g., Starlink) is established.
Data architectures must natively support PostGIS or similar spatial extensions for efficient geospatial querying.
A mix of legacy John Deere/Trimble GPS systems, isolated weather stations and manual ERP entry., Data is highly siloed on individual machines or USB drives rather than aggregated in a central data lake.
Farm Management Software (FMS), IoT Sensor Networks, Drone/Satellite Imagery APIs, ERP, Supply Chain Logistics
FSMA (Food Safety Modernization Act), EPA Regulations
ISOBUS, LoRaWAN, MQTT, NMEA (GPS)
We deploy private LoRaWAN networks across the farm that communicate with a ruggedized edge gateway. The gateway buffers data and transmits via satellite or when a cellular connection is restored.
Architecting Software Engineering & Architecture solutions for core workflows.
Architecting Data Engineering & Analytics solutions for core workflows.
Architecting Cloud & Infrastructure Engineering solutions for core workflows.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.