Autonomous Bio-Indicator Intelligence System
A digital twin platform combining bioindicator ecology, multispectral analytics and AI-driven soil diagnostics to autonomously detect nutrient imbalance and pH deviations.
Project Overview
Watch a short explanation of the Bioindicator System and the sensing-to-decision logic behind BioSense Nexus.
Outputs
BioSense Nexus converts bioindicator + spectral signals into geo-referenced layers that are easy to act on at field-zone level.
Nutrient Imbalance Heatmap
Zone-level indication of likely deficiencies (e.g., N, Mg, Fe) based on combined vegetation response and spectral indices.
Soil pH Deviation Map
Early detection of acidity deviation patterns to support targeted soil correction and sustainable management.
Field-Zone Summary
A compact, auditable snapshot: signals observed, confidence notes, and suggested next validation steps (sampling or agronomy checks).
- Bioindicator response: chlorosis pattern
- NDRE deviation: sustained
- SPAD trend: down
How it works
A governed sensing-to-decision chain: biological signals become actionable, geo-referenced intelligence.
Living Bio-Sensors
Bioindicator weeds & companion plants respond to nutrient deficits and pH shifts through early physiological and color changes.
Multispectral Signals
NDVI, NDRE, SPAD and thermal/IR imaging capture stress signatures invisible to conventional observation.
AI Interpretation
Models integrate plant and spectral patterns into hypotheses about nutrient imbalance and soil acidity deviation by zone.
Decision Map
A geo-referenced decision layer supports precise, low-cost and environmentally responsible soil management.