Home
Portfolio
Lumigrow
Lumigrow
Lumigrow

LumiGrow Achieves 23× Growth with IoT SaaS Platform for Smart Horticultural Lighting

23× user growth in 3 years
23× user growth in 3 years
From pilot deployments to large-scale greenhouses

DLI algorithm integration
DLI algorithm integration
Daily Light Integral algorithm to optimize lighting by crop type and sunlight
1,000+ device connections
1,000+ device connections
Self-healing Mesh network for stable communication
LumiGrow Achieves 23× Growth with IoT SaaS Platform for Smart Horticultural Lighting
Industry
Agriculture
AgTech
IoT
Provided Services
Embedded systems development
IoT backend development
SaaS platform development
Maintenance and Support service
Engagement Timeline
12 months
Tech Stack
C / C++ / Java / React / Angular / MQTT / VerneMQ / BLE / MySQL / PostgreSQL / AWS (S3, Kinesis, Athena)

[ client & product overview/ ]

LumiGrow - California-based innovator in smart horticultural lighting. Helps growers control lighting to boost plant growth using inputs like light intensity, season, and plant type.

LumiGrow revolutionized horticulture with the first smart LED grow lights in North America.

Founded in 2007 by scientists, the company developed an algorithm that calculates the precise amount of light plants need based on intensity, latitude, time of year, and day length. LumiGrow’s hardware and software systems make it possible to influence plant biology through a controllable lighting spectrum.

LumiGrow 1
LumiGrow 2
LumiGrow 3
LumiGrow 4

[ challenges/ ]

The Core Challenges Solved

LumiGrow was at a critical inflection point:
C1:

Need for a Robust SaaS Solution

The scientific algorithms (Daily Light Integral, or DLI) needed to be embedded into a reliable SaaS product.
C2:

Network Overload in Large Deployments

Routers crashing at scale - Large greenhouse deployments with 1,000+ lamps crashed Wi-Fi routers when devices tried to connect simultaneously.
C3:

Scalability as a Growth Bottleneck

Without solving scalability, the company risked stalled growth and reduced valuation.

[ how we did it/ ]

Solution & Implementation
S1:
Self-Healing Mesh Network

Re-architected device communications into a Bluetooth Low Energy (BLE) mesh where lamps automatically form clusters with master nodes relaying to Wi-Fi access points. The system was stress-tested under high humidity and metal interference conditions typical for industrial greenhouses, ensuring reliable BLE mesh communication and data recovery after network drops.

  • Impact: Enabled scalable, fault-tolerant grow light installations.
Self-Healing Mesh Network
Lumigrow Architecture
S2:
DLI (Daily Light Integral) Algorithm Integration

Integrated LumiGrow’s proprietary algorithm with light sensors to adjust lamp output by crop type, sunlight, and growth stage. The DLI model controls light intensity, spectrum, and photoperiod.

  • Impact: Improved yields and reduced energy use.
S3:
Modular IoT Architecture

We implemented a modular, event-driven IoT architecture that separated device communication, data aggregation, and user interface layers. This decoupling allowed rapid scaling from pilot installations to full greenhouse networks without refactoring core systems.

  • Impact: Scaled quickly without disrupting core systems.
Modular IoT Architecture
MQTT Broker
S4:
Cloud Migration and Data Flow Reliability

Migrated workloads to AWS with CI/CD pipelines, backups, monitoring, and detailed logging for greater scalability and fault recovery. The AWS-based pipeline was designed for continuous data streaming via MQTT and Kinesis, enabling real-time control decisions and analytics across thousands of devices.

  • Impact: Stable, high-performing platform and smoother user experience.
S5:
Plant Disease Detection

Developed an experimental module integrating with Sporecam (now ScannedTechnology) to identify early signs of plant disease using camera data.

  • Impact: Opened opportunities for predictive insights and proactive crop protection.
S6:
Improved User Experience

Enhanced the control interface for more intuitive, efficient grower workflows.

  • Impact: Simplified management and increased user satisfaction.
S7:
Intellectual Property Development

Consolidated proprietary algorithms into a defensible IP base, creating trade secrets for sustained competitive advantage.

  • Impact: Strengthened LumiGrow’s market position through protected innovation.

[ portfolio/ ]

Related Case Studies

Preferences

Privacy is important to us, so you have the option of disabling certain types of storage that may not be necessary for the basic functioning of the website. Blocking categories may impact your experience on the website. More information

Accept all cookies