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Project

AgroNode Sensor Fleet Manager

LoRaWAN soil + weather mesh with irrigation recommendations for cooperative farms.

Client
AgroNode Cooperative
Expertise
Industry, Agriculture
Scope
7 months
AgroNode Sensor Fleet Manager

about project

LoRaWAN soil + weather mesh with irrigation recommendations for cooperative farms.

  • go
  • k8s
  • lorawan
  • influx

Cooperative agronomists flew drones manually to spot dry pockets.

We deployed LoRaWAN gateways with solar edge nodes streaming moisture and salinity.

Edge rules throttle irrigation pumps when grid prices spike.

Growers receive SMS nudges with confidence scores tied to micro-climate models.

Features

  • Gateway health monitoring
  • Pump interlocks with manual override
  • Weather API fusion
  • Cooperative billing for data plans
  • CSV exports for crop insurers

Case
study

OUR
Approach

How we framed the challenge, shipped the solution, and measured outcomes.

Challenge

Legacy tooling could not audit changes at scale.
Stakeholders lacked a single dependable source of KPI truth.

Our approach

Introduced hardened workflows with automation at the bottleneck.
Shipped dashboards with guardrails and explicit ownership.

Results

Water usage per hectare decreased without yield loss.
Sensor offline incidents triaged faster.
Impact

Key metrics

−18%

Irrigation energy cost

tighter band

Yield variance vs. target

99.2%

Sensor uptime
Stages

Work in stages

01

Requirement Gathering & Discovery

1

02

Project

However, all complete IoT systems are the same in that they represent the integration of four distinct components: sensors/devices, connectivity, data processing, and a user interface.

03

IOT Projects software

The software then analyzes and transmits the data to users via an app or website.

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