Industry 4.0: Precision Irrigation with AI

Intelligent platform to optimize agricultural irrigation through advanced analytics and real-time data

Agricultural performance based on data, not intuition

Water is one of the most valuable resources in agriculture, but also one of the most difficult to manage.

• Over-irrigation generates losses
• Under-irrigation reduces productivity
• Irrigating without clear information increases costs and risk to crops

AI-based Precision Irrigation, built on IoT and intelligent analytics, offers a modern way to manage water efficiently, sustainably, and fully connected.

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A platform designed for smarter irrigation decisions

The solution integrates relevant agricultural information in a single panel:

• Soil moisture
• Temperature and climate variations
• Crop status
• Water behavior by zone
• Historical irrigation information
• Climate projections (if available)

All this information is processed in the cloud to deliver a clear and operational view.

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IoT data to understand real soil behavior

Each plot is different.

That's why the platform is designed to receive data from different available sources:

• Existing field sensors
• Weather stations or local records
• Digitized manual data
• Equipment or third-party systems already installed
• Flows sent from the farm or greenhouse

The goal is to leverage the information the operation already produces to improve decision-making, without depending on specific hardware.

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AI that transforms data into practical actions

The artificial intelligence module analyzes soil, climate, and crop patterns to:

💧 Recommend precise irrigation

Indicates when to irrigate, how much water to apply, and which zones to prioritize.

🌤️ Anticipate adverse weather conditions

Avoids unnecessary irrigation before rain or extreme heat (if climate information is integrated).

📉 Detect water stress

Identifies changes in moisture or temperature that could affect crop health.

📊 Optimize water use

Calculates the impact of irrigation on performance and reduces waste.

🧠 Learn from historical behavior

Improves its recommendations over time.

This approach places agriculture in the Industry 4.0 standard: data-based decisions and continuous intelligence.

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Key indicators of smart irrigation

The platform shows essential metrics such as:

• Soil moisture by zone
• Crop water trend
• Estimated water consumption
• Irrigation vs. yield curves
• Critical zones with dehydration risk
• Areas with excess water
• Efficiency indicators per applied irrigation

These KPIs allow precise adjustment of agricultural strategy.

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Immediate benefits

✅ More efficient water use

✅ Reduction of operating costs

✅ Improved crop health

✅ Lower water stress risk

✅ Irrigation optimization by zone

✅ Recommendations based on real data

✅ Greater production stability and performance

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Practical example

A crop divided into three zones appears uniform, but data reveals that one of them loses moisture faster due to its soil composition.

The AI detects this pattern and recommends:

"Apply moderate irrigation in Zone 2 during the next 10 hours to avoid water stress."

The farmer adjusts his strategy without wasting water on the entire field.

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Compatible with different agricultural scales

The system adapts to:

• Extensive crops
• Medium farms
• Greenhouses
• Horticulture
• Fruit trees
• Educational or research institutions

The platform works in the cloud, but hybrid configurations with local modules can also be evaluated depending on existing infrastructure.

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Part of the 2025 Roadmap

AI-based Precision Irrigation is part of Nissi Energy's 2025 Roadmap.

Currently developing:

• Water recommendation models
• Advanced visualization of soil and climate status
• Water stress prediction with AI
• Consumption and efficiency analysis
• Flexible connectivity for different data sources
• Comparative tools between agricultural cycles

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🟩 Note for farms and institutions interested in IoT innovation

We are looking for early partners who want to participate in the initial phase of the AI Precision Irrigation system.

If your agricultural operation wants to:

• Improve water use
• Increase performance
• Apply smart farming techniques
• Evaluate IoT and AI-based solutions

We can establish an early implementation agreement, with exclusive benefits for the first participants.

Contact us to coordinate an exploratory meeting.

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Conclusion

The irrigation of the future is intelligent, connected, and based on real data from soil and crops.

An IoT platform with AI allows applying water only when necessary, in the right amount, and in the correct zones.

The result is a more efficient, productive, and sustainable agricultural operation.