AgriTech: Smart irrigation platform with IoT

Published on 2/25/2026

Reading time: 5 min

AgriTech is a smart agriculture platform developed to monitor, analyze, and optimize irrigation in medium and large-sized farms.

The project was initially implemented on an avocado-producing farm, focusing on increasing water efficiency, reducing waste, and ensuring greater operational predictability.

The challenge

Lack of continuous soil moisture monitoring and decisions based on estimates, impacting productivity and water consumption.

Problems

Lack of real-time data
Decisions based on estimates
Water waste
Low operational predictability

Needs

Continuous monitoring
Automatic recommendation
Precise irrigation control
Data-driven management

The solution

We developed an integrated IoT platform applied to agriculture, consisting of:

1. Field Infrastructure

Layer responsible for continuous collection and secure transmission of data in an agricultural environment.

Soil moisture monitoring sensors
Gateway with LoRaWAN technology
Solenoid valve controller
Flow meter
Starlink integration for remote connectivity
Remote monitoring and control system

The sensors collect continuous data on:

VWC (Volumetric Water Content – Soil Moisture)
Soil temperature
Electrical conductivity (EC)

This data is transmitted via LoRaWAN to the central platform.

2. Smart Monitoring Platform

The AgriTech platform allows the owner to track, in real-time:

Daily sensor history
Comparative charts by monitored area
Recommended ideal irrigation ranges
Mild or severe deficit alerts
Automatic irrigation recommendation (in gallons per tree/day)
Estimated system activation time

Additionally, the system features:

Centralized dashboard
Farm map with georeferenced points
Detailed table exportable to Excel
Sensor and alarm management
24/7 operation with remote support

The system provides full operational visibility and continuous decision support.

3. Intelligence Applied to Irrigation

The platform doesn't just display data; it generates automatic irrigation recommendations based on the ideal parameters defined for each crop. Example analysis:

Identification of severe moisture deficit
Automatic calculation of water requirement
Adjustment recommendation (e.g., 3.4 gallons/tree/day)
Estimated irrigation time

This enables fast and informed decisions, reducing risks and increasing efficiency.

Results

AgriTech's implementation was not limited to installing sensors or dashboards. The project structured a new operational base, allowing for informed technical decisions, greater predictability, and waste reduction across the entire production chain.