Smart Irrigation Use Case

Over-irrigation remains one of the largest challenges facing the agriculture industry globally. Not only does it waste precious natural resources, but it also impacts crop health and soil quality, leading to inefficiencies and higher operational costs. The constant pursuit to improve crop yield and optimize the use of natural resources drives the need for smarter, data-driven irrigation solutions.

Optimizing Water Use for Sustainable Crop Growth

In this use case, you'll discover how our 360° Asset Visibility for Agriculture and Farming Solution, combined with LoRaWAN® connectivity, enabled a large farming operation to drastically reduce water consumption while improving crop yields and soil conditions. By leveraging advanced sensor technology and real-time data analytics, this farm could precisely monitor soil moisture levels, optimize water distribution, and make informed decisions to prevent over-irrigation.

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How Our Solution Transformed Their Irrigation System

This smart irrigation solution not only led to better resource management but also aligned with the farm’s commitment to sustainability, reducing its environmental impact while achieving greater operational efficiency. The combination of cutting-edge technology and AI-driven decision-making empowered the farm to plan for the future of Farm AI, ensuring long-term success in sustainable water management.

With access to real-time data from multiple sources, the organization implemented a system that allowed them to:

Monitor Soil Moisture in Real-Time
y using a network of IoT sensors, farmers could continuously monitor soil conditions, reducing the need for manual checks and enabling more accurate irrigation schedules.
Automate Irrigation Schedules
Through our solution, the farm automated their irrigation system based on real-time weather data and soil moisture conditions, ensuring that water was applied only when necessary.
Reduce Water Waste and Costs
The farm saved significant water resources, which not only led to cost savings but also helped meet sustainability goals. The system helped the farm reduce water usage by up to 30% while maintaining optimal crop yields.

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