What you're looking at: Real sensor readings from a single instrumented Alphonso mango tree on our test orchard. EC, moisture, pH, and temperature are logged continuously. The Uptake Index and fertilizer suggestion are generated by AI analysis of this longitudinal data — the same intelligence we'll deliver at scale across commercial orchards.
Root-Zone Sensors · Current Reading
pH
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Moisture
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Volumetric · soil probe
EC
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µS/cm · root zone
Temp
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°C · soil probe
Sankhya Intelligence
📈 Root-Zone Uptake Index
—UI
Uptake Index
Avg daily uptake
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µS/cm · 30d
Above-avg days
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— valid days · 30d
Cumulative (7d)
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µS/cm · high-conf
🌱 Fertilizer Suggestion
Tomorrow's recommendation
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AI-generated during analysis run · based on current root-zone state · refreshed when analysis is run
Pinned Insights
Key agronomic recommendations flagged and tracked across AI sessions for this tree.
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Tree Timeline · Pradyumna
Continuous photographic record since January 2025. Click any image to enlarge. Auto-scrolls oldest → latest.
What this demonstrates
Pradyumna has been continuously monitored since January 2025 — over 300 days of sub-hourly sensor data. This longitudinal depth is what makes the intelligence possible: the same EC reading means different things depending on what preceded it. Rate-of-change patterns, not static thresholds.
The Uptake Index detects active nutrient absorption in real time. Flush events have been predicted 2–3 days in advance by EC decline patterns in clean nocturnal windows. The same architecture scales to any orchard, any crop under drip fertigation.