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AI · IoT · Agritech · AI & Data
DATA AGRO 5.0
An AI-assisted irrigation pilot designed to turn field sensor readings into actionable recommendations for agronomists and farmers.
Context
DATA AGRO 5.0 combines tensiometers, environmental sensing, connectivity and machine learning to support irrigation decisions. The pilot is designed around real agricultural plots in Tacna and a human-in-the-loop workflow where agronomists validate recommendations before the model becomes more autonomous.
Development
- Sensor readings planned at 15-minute intervals across multiple soil depths.
- Human-in-the-loop training using agronomist recommendations as labels.
- Pilot design compares traditional decisions, assisted decisions and AI-supported recommendations.
- Built as a continuation of smart-agriculture work focused on water efficiency and productivity.
Screenshots
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