Overview
Banao Technologies collaborated with an agri-tech enterprise to design and implement an AI-powered irrigation automation system that leverages IoT sensors, weather forecasting, and machine learning. The system optimizes water usage, improves crop yield, and reduces operational costs through data-driven irrigation control across large-scale farmlands.
Industry
Agriculture & AgriTechBusiness type
AgriTech / Farm Automation
Build your idea
Consult our expertsImpact After Deployment
Post-deployment, the AI irrigation system enabled farmers to monitor and control irrigation remotely, reducing water consumption while maintaining optimal soil moisture. With predictive weather insights and real-time soil data, irrigation scheduling became fully automated — leading to higher crop yields and sustainability improvements.
Sustainable growth achieved through AI irrigation
0+
increase in crop yield,
0+
reduction in water usage, and
0%
decrease in manual irrigation effort.
Challenge
Farmers were facing unpredictable irrigation cycles, water wastage, and crop stress due to inconsistent weather conditions and manual decision-making. Lack of real-time soil and weather data made it difficult to ensure optimal water distribution across large fields.
Our Solution
Banao built a scalable AI-powered irrigation system integrated with IoT-based soil sensors and weather APIs. The AI engine analyzes soil moisture, temperature, humidity, and rainfall forecasts to automate irrigation timing and volume. The entire system is managed through a cloud dashboard with real-time alerts and analytics.
Features Implemented:
- AI-driven irrigation scheduling and control
- IoT sensors for soil and climate monitoring
- Cloud-based farmer dashboard with mobile access
- Integration with weather forecasting APIs

Key Features Implemented
An intelligent irrigation system built to conserve water, improve yield, and empower farmers with real-time decision-making.
AI Irrigation Scheduler
Uses predictive algorithms to calculate ideal irrigation times based on soil and weather data.
IoT Sensor Network
Deploys soil moisture, temperature, and humidity sensors across farmland for continuous monitoring.
Smart Water Valve Control
Automatically activates or stops irrigation valves through AI-based triggers for optimal resource use.
Farmer Cloud Dashboard
Provides live updates, analytics, and historical data trends accessible via web and mobile app.
Where we're located
Frequently Asked Questions
Can farmers control irrigation manually if needed?
Yes, the dashboard allows switching between auto and manual modes, giving complete control to farmers when required.
What technologies were used in the solution?
The system combines IoT sensors, edge computing, AI algorithms, and cloud analytics for real-time irrigation control.
How much water savings were achieved?
Water usage reduced by over 30–40% while maintaining consistent soil moisture and plant health.
Is the solution scalable for multiple farms?
Yes, the system supports modular expansion and can monitor multiple zones or farms through a unified dashboard.





