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Aixo LabAixo Lab

Agriculture and Smart Farm Software Development

Aixo Lab builds agriculture and smart farm software for farms, agribusinesses, cooperatives and agritech companies in Korea — sensor and IoT monitoring, farm operations management, traceability, direct-sales platforms and decision dashboards.

  • IoT Monitoring
  • Smart Farm
  • Traceability
  • Farm Operations
  • Direct Sales
Estimated timeline
Typically 10–16 weeks for a first production module
Platforms
Web · Mobile · Cloud
Tech stack
Next.js · Python · PostgreSQL · MQTT
Illustration of a young plant sprouting from soil beneath a sun on an isometric platform, beside dashboard cards that represent smart farm monitoring software
Overview

Agriculture Overview

Aixo Lab builds agriculture and smart farm software for farms, agribusinesses, cooperatives and agritech companies in Korea — sensor and IoT monitoring, farm operations management, traceability, direct-sales platforms and decision dashboards.

  • Know Every Field and Greenhouse

    Temperature, humidity, soil and crop data from sensors on one screen, so problems are seen while they are still small.

  • Resources Used Where They Pay Back

    Irrigation, nutrients and energy are scheduled from measured conditions instead of fixed routines, reducing waste.

  • From Farm to Buyer

    Harvest records, quality data and orders connected, so buyers can trust the product and farmers can reach them directly.

What's Included

Everything under one roof

Everything included in this engagement, from architecture to long-term support — one team, one system.

Smart Farm Monitoring

Live sensor data from greenhouses, fields and equipment with thresholds and history.

Greenhouse and Climate Control

Rules and schedules for heating, ventilation and lighting driven by measured conditions.

Irrigation and Fertigation Management

Water and nutrient plans scheduled and logged per zone, with automation and manual override.

Crop and Field Records

Planting, treatments and observations recorded per plot, replacing paper logbooks.

Harvest and Yield Tracking

Yield by crop, plot and season, compared against plan and prior years.

Traceability and Lot Records

Lots traced from field to buyer with the production history a buyer or auditor may request.

Farm Inventory and Equipment

Inputs, tools and machinery tracked, with maintenance reminders and usage logs.

Labour and Task Management

Daily tasks assigned and confirmed from a mobile app, including multilingual instructions.

Direct Sales and Marketplace

Online ordering, subscriptions and delivery scheduling that connect growers with customers.

Cooperative and Supply Management

Member records, collection, grading and settlement for cooperatives and producer groups.

Weather and Forecast Integration

Local weather data and forecasts linked to alerts and planning.

Reporting and Analytics

Cost, yield and resource-use reporting that shows what each decision delivered.
Why Aixo Lab

Why Farms and Agribusinesses Choose Aixo Lab

  1. We Start in the Field

    Discovery begins with your crops, structures and routines, so the system matches how the farm actually runs rather than an office idea of it.

  2. We Connect Sensors to Decisions

    Readings are turned into alerts, schedules and reports people act on, instead of another screen of numbers nobody checks.

  3. We Design for Rural Connectivity

    Gateways buffer data and apps work with weak signal, so monitoring and records survive the coverage gaps of real farms.

  4. We Keep Records Buyers Trust

    Structured production and traceability records make it easier to document quality and origin to buyers and auditors.

Typical Solutions

The agriculture systems we typically build

Concrete system types, each designed around how farms and producer groups actually operate.

Smart Farm Monitoring Platform

Sensor data, alerts and history for every greenhouse and field.

Greenhouse Control Dashboard

Climate, irrigation and lighting control with schedules and automation rules.

Farm Management and Records App

Tasks, crop records and inputs captured on a phone in the field.

Traceability and Quality Portal

Production history and lot records shared with buyers and auditors.

Direct Sales and Subscription Marketplace

Ordering, subscriptions and delivery for customers who buy direct.

Cooperative Operations Platform

Member, collection, grading and settlement workflows for producer groups.
Agriculture Capabilities

The platform capabilities modern farms rely on

Capabilities built in from the start, so the platform scales from one greenhouse to many sites and partners.

Sensor and IoT Integration

Connectivity to common sensors, controllers and gateways using standard protocols such as MQTT.

Automated Control Rules

Conditions and schedules that trigger actuators or alerts, with safe manual override.

Alerts

Threshold and anomaly alerts by app push, SMS or messaging so issues reach the right person quickly.

Offline and Low-bandwidth Operation

Local buffering and light data use that cope with weak rural networks.

Weather Data

Forecasts and historical weather linked to crop plans and alerts.

Traceability Records

Lot and batch records linking inputs, treatments, harvests and shipments.

Role-based Access

Owners, managers, workers, buyers and advisors see only what their role requires.

Mobile Field Capture

Photos, notes and measurements captured in the field and attached to plots and tasks.

Analytics and Forecasting

Yield, cost and resource trends used to plan the next season.

Multilingual Interface

Korean and other languages for the diverse workforce many farms rely on.
Technology Stack

Built on a modern, production-grade stack

Every technology here is a deliberate choice, not a default.

Next.js

React framework for fast monitoring dashboards and sales sites.

React

Component-based UI for dashboards, records and ordering.

React Native

One codebase for the iOS and Android field and customer apps.

Node.js

Real-time services for sensor ingestion, alerts and notifications.

Python

Data processing and analytics for yield, climate and forecasting.

PostgreSQL

Relational database for records, traceability and time-series readings.

Redis

Caching and queues that keep dashboards live and jobs reliable.

Docker

Containerised services deployable in the cloud or on local gateways.

AWS

Cloud infrastructure for storage, analytics and multi-site aggregation.

MQTT

Lightweight messaging protocol for streaming data from sensors and controllers.
Process

How we work

The same disciplined process behind every engagement, from the first architecture decision to launch.

  1. 01
    Discovery

    Understand the business problem and its real constraints.

    Output:
    Scope and goals document
    Your involvement:
    Initial workshop
  2. 02
    Product definition

    Translate the problem into concrete product requirements.

    Output:
    Feature spec and priorities
    Your involvement:
    Requirements review
  3. 03
    UX/UI design

    Design user flows and interface before development starts.

    Output:
    Wireframes and design system
    Your involvement:
    Design feedback
  4. 04
    Technical architecture

    Define system structure, data flow, and technology stack.

    Output:
    Architecture document
    Your involvement:
    Technical review (optional)
  5. 05
    Iterative development

    Build in short cycles with visible, regular progress.

    Output:
    Regularly shipped working versions
    Your involvement:
    Sprint review participation
  6. 06
    Quality assurance

    Test functionality, performance, and security before release.

    Output:
    Test results and fixes
    Your involvement:
    Acceptance sign-off
  7. 07
    Launch

    Deploy to production with a rollback plan in place.

    Output:
    Product deployed to production
    Your involvement:
    Launch approval
  8. 08
    Continuous improvement

    Monitor, maintain, and evolve the product after launch.

    Output:
    Maintenance and improvement roadmap
    Your involvement:
    Regular check-in meetings
FAQ

Frequently asked questions

Representative Solutions

What this looks like once built

Reference architectures from our Representative Solutions collection that plausibly apply here.

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