Scan History & Agronomic Intelligence
Last updated
Last updated
The Scan History module provides users with a chronological log of all soil sensor submissions and their corresponding evaluations. This functionality ensures traceability, supports data-driven decisions, and allows farmers to track the effects of interventions over time.
Each scan entry displays:
Overall Result (e.g., “Good,” “Needs Attention,” “No evaluation”)
Crop Type
Timestamp (with date and precise time)
By tapping on any entry, users can view a detailed breakdown of that scan’s data and receive AI-generated recommendations tailored to the specific crop and conditions.
In the Scan Details view, the app displays the submitted environmental parameters:
Fertility (µS/cm)
Moisture (%)
pH Level
Temperature (°C)
Sunlight (Lux)
Humidity (%)
These values are processed by DecentrAgri’s AI agents, which generate agronomic feedback and suggestions. For example:
Moisture levels that are slightly high will trigger recommendations to adjust irrigation.
High humidity prompts ventilation advice to mitigate disease risk.
Adequate but suboptimal sunlight is flagged with a suggestion for light optimization.
Each scan ends with an Overall Evaluation, summarizing whether the conditions are good, need attention, or couldn’t be evaluated (e.g., due to incomplete data).
This feature not only empowers farmers with contextual feedback but also supports long-term farm management. By logging and reviewing trends, users can:
Detect recurring issues (e.g., persistent overwatering)
Monitor the effectiveness of corrective measures
Improve yield outcomes using science-backed advice
As data accumulates, the app can evolve to include visual graphs, predictive alerts, and benchmarking against community or regional data.