Crop Monitoring with Visual Explorer
Get to Know the Visual Explorer Pages
The Visual Explorer is the primary workspace for exploring crop production, crop performance, and forecasting data in Oracle Agriculture Intelligence. It is designed to support spatial, temporal, and analytical exploration of agricultural data, allowing users to move seamlessly between summary statistics, trends, and map-based visualizations.
The Visual Explorer includes multiple analytical views, including Crop Production and Crop Performance, that share a common layout and interaction model. Understanding the structure of these pages helps users interpret results correctly and navigate efficiently between different types of analysis.
The Visual Explorer – Crop Production Page
The Crop Production view focuses on estimated and forecasted crop production volumes over time. It allows users to assess current production levels, compare projections against historical averages, and understand how production is distributed spatially.
Key Elements of the Crop Production Page
| Callout # | Element | Description |
|---|---|---|
| 1 | Context Selector Bar | Displays the selected region and crop. Users can adjust the geographic scope or crop to update the analysis. |
| 2 | Analysis Tabs | Allows switching between Overview, History, and Sub-Regions views for the selected metric. |
| 3 | Production Summary Panel | Shows charts summarizing crop production trends, including actual values and projections relative to historical averages. |
| 4 | Global Navigation Bar | Enables navigation between Agriculture Intelligence, Visual Explorer, and Projects. |
| 5 | Visual Explorer Mode Selector | Indicates the active analysis mode (for example, Crop Production) and allows switching to other Visual Explorer views. |
| 6 | Share | Copies the current page URL to the clipboard for sharing with other users. |
| 7 | Map View and Controls | Displays spatial distribution of crop production forecasts and provides map interaction tools such as zoom and layer controls. |
This page is typically used to understand how much of a crop is expected to be produced, how current estimates compare to historical norms, and where production is concentrated geographically.
The Visual Explorer – Crop Performance Page
The Crop Performance view focuses on yield and performance indicators, showing how current or forecasted crop performance compares to historical benchmarks. It is particularly useful for identifying underperformance or above-average conditions across regions.
Key Elements of the Crop Performance Page
| Callout # | Element | Description |
|---|---|---|
| 1 | Context Selector Bar | Displays the selected region and crop, defining the scope of the performance analysis. |
| 2 | Analysis Tabs | Provides access to Overview, History, and Sub-Regions perspectives for performance metrics. |
| 3 | Performance Summary Panel | Displays yield forecasts and performance indicators by region and by crop, often shown relative to historical averages. |
| 4 | Global Navigation Bar | Allows switching between core application areas. |
| 5 | Visual Explorer Mode Selector | Indicates that the Crop Performance view is active and enables navigation to other Visual Explorer modes. |
| 6 | Share | Enables sharing a direct link to the current view. |
| 7 | Map View and Controls | Visualizes spatial patterns in crop performance, including deviations from historical averages. |
The Crop Performance page helps users understand how crops are performing relative to expectations, where yields may be below or above normal, and which regions may require closer attention.
How the Visual Explorer Pages Work Together
The Crop Production and Crop Performance pages are designed to complement each other:
- Crop Production focuses on total output and volume-based estimates.
- Crop Performance focuses on yield and relative performance compared to historical norms.
- Both views share the same interaction model, enabling users to switch between them without losing context.
- Map-based visualizations and summary panels are synchronized, supporting both spatial and analytical interpretation.
Together, these pages provide a comprehensive foundation for monitoring crop conditions, understanding production dynamics, and supporting forecasting and decision-making.