Oracle Agriculture Intelligence User Guide
Introduction
Purpose of This Guide
This guide introduces users to Oracle Agriculture Intelligence and explains how to navigate and use its core features. It is designed to help both new and experienced users understand how the system presents agricultural information, how insights are generated, and how to use the application to monitor crop conditions and support decision-making.
The guide focuses on turning complex data into an intuitive workflow for users who rely on timely, accurate, and actionable information. Whether you are interpreting national-level forecasts or reviewing conditions in a specific district, this guide provides the foundation you need to work effectively with the application.
What Oracle Agriculture Intelligence Does
Oracle Agriculture Intelligence provides governments with a unified and objective source of agricultural intelligence. It integrates satellite imagery, daily weather data, soil information, and historical production patterns to create a real-time digital representation of national agriculture. This enables agronomists and analysts to monitor crop development throughout each growing season and quickly understand how environmental conditions may influence yield.
A core capability of the platform is crop detection and classification. The system uses satellite imagery and AI models to identify where specific crops are planted. For each cropped area, the system uses vegetation indices, moisture indicators, temperature patterns, and soil conditions to assess the health of the crop in order to estimate yield performance. Finally, the system combines the detected crop areas with in-season performance modeling for each area to estimate expected production.
The system also identifies emerging risks and summarizes them into clear, actionable insights. These insights allow policymakers and analysts to detect threats, understand their potential impact on specific crops and regions, and take early action. By providing a consistent, transparent, and spatially explicit view of crop distribution and condition, the application supports proactive decision-making, improves production forecasting, and strengthens national food-security planning.
Intended Audience
This guide is intended for any user responsible for monitoring agricultural conditions or responding to food-security challenges. It supports:
- Policymakers who need high-level visibility into national crop performance
- Analysts evaluating trends and comparing conditions across regions
- Emergency-response and food-security teams preparing interventions
- Program managers reviewing the outcomes of response plans
- Technical advisors and GIS specialists who explore detailed geospatial data
The system is designed to be accessible even for users without technical or data science backgrounds.
Prerequisites
Before beginning, users should verify that they have:
- A valid login and the appropriate role-based permissions
- Access to the correct application URL
- Basic familiarity with their country’s administrative structure
- Awareness of key crop seasons (optional but helpful)
No specialized technical knowledge is required.
Key Concepts
Production & Performance
The platform continuously estimates crop performance and expected production by combining detected crop area with modeled yield conditions. After identifying which crops are planted and measuring their health and growth patterns, the system estimates:
- Planted area by crop
- Relative yield performance compared to historical averages
- Expected total production at field, regional, and national levels
These estimates are updated throughout the season as new data becomes available. This enables early forecasting of potential shortfalls or surpluses, improving food-security planning and market stability.
Insights
Insights are automatically generated alerts that signal conditions affecting crop health or potential yield. These insights highlight issues such as drought, flooding, excessive rainfall, heatwaves, or declining crop performance. Each insight contains:
- A description of the event
- Affected regions and crops
- The estimated impact on production
- Indicators showing whether conditions are improving or worsening
Insights help users focus their attention on the most critical developments and enable timely responses.
Projects (Response Planning)
Projects allow users to organize and follow up on the actions taken in response to insights. When a risk is detected, a project can be created to coordinate interventions, assign tasks, and document progress. Projects help ensure that decision-making is tied to the latest data and that responses remain aligned with actual conditions in the field.
They also support longer-term learning by recording the effectiveness of specific interventions.
Digital Twin
The digital twin is a dynamic, continuously updated model of the country’s agricultural landscape. It combines satellite imagery, weather information, soil characteristics, and crop signatures into a unified geospatial environment. This model allows users to:
- View crop development and distribution in real time
- Detect changes in crop health or stress
- Understand how local events may affect national production
Because the digital twin reflects the most current data available, users can make decisions based on accurate and timely information rather and complement manually-generated reports.
Crop Tiles
The system analyzes the landscape through a grid of crop tiles. The system is designed to provide nationwide coverage with tiles of approximately ten meters by ten meters, although in some areas more detailed imagery may also be used. Every tile is assessed individually to determine the crop type, health level, and presence of stress signals. These tile-level insights roll up into municipalities, regions, and national summaries.
This granular approach is essential for detecting early signs of crop underperformance. It ensures that regional variations are captured clearly and that users can pinpoint specific areas where conditions are changing.
Administrative Levels
Information in the application is organized by administrative boundaries. Users can navigate between levels such as national, regional, and municipal. The number of administrative levels is defined based on the structure of each country, typically between 3 and 5 levels. As users move between these levels, all maps, metrics, and insights automatically adjust to reflect the selected area. This flexibility allows both broad strategic assessments and detailed local analysis.
Getting Started
Logging In
To start using the system, open your web browser and go to the login page provided by your administrator. Depending on your organization’s setup, you may sign in using a standard password or through a single sign-on method. After authentication, the system takes you to the National Dashboard, where you will see an overview of crop performance and active insights.
If you cannot access the system, check with your administrator to confirm your account permissions or troubleshoot authentication issues.
Navigating the Application
Upon logging in, you’ll see the main navigation menu, which provides access to dashboards, insights, crop analysis tools, projects, and the visual explorer. The landing page offers an at-a-glance summary of crop health, current risks, and forecasted production, helping orient you before exploring more detailed information.
Navigation is centered around a combination of map-based visualizations and interactive charts. Users can move seamlessly between different administrative levels, switch between crop types, compare seasonal trends, and explore specific insights in more detail. The interface is designed to support both high-level assessments and detailed investigative work without requiring any data manipulation by the user.
Daily Tasks
Daily tasks represent the core activities that most users—policymakers, agronomists, analysts, and program managers—perform each time they open Oracle Agriculture Intelligence. These tasks help teams stay aware of changing conditions, evaluate risks as they emerge, and make informed decisions about where to focus attention or deploy resources. Although the platform performs advanced geospatial analysis and machine learning operations behind the scenes, the application presents information in a clear, accessible format that supports confident, data-driven decision-making.
Reviewing the Agriculture Intelligence Dashboard
Users begin their day by reviewing the Agriculture Intelligence Dashboard, which offers a consolidated view of the agricultural situation for the current season. The dashboard surfaces key indicators such as national crop performance, seasonal trends, and production forecasts, giving an immediate understanding of whether conditions across the country are stable or shifting. The map-based overview uses intuitive color gradients to highlight areas performing well and regions showing signs of stress.
One of the most important elements on the dashboard is the active insights list, which summarizes newly detected risks—such as droughts, floods, or rapid declines in crop health—and provides an initial estimate of their potential impact on production. This makes the dashboard a strategic “command center” for early situational awareness. Policymakers often rely on this view as their primary reference point for high-level decision-making throughout the season because it quickly conveys the overall health of the agricultural landscape and draws attention to areas requiring deeper investigation.
Checking New or Updated Insights
Insights are the system’s mechanism for communicating emerging risks, and reviewing them regularly is essential to daily operational work. When a new insight appears on the dashboard, users can open it to view a detailed description of the event, including the affected regions, the scale of potential yield loss, and how conditions are trending.
Each insight provides a rich, multi-layered analysis, including:
- A map outlining the geographic extent of the event
- Estimated impact on crop performance and expected yields
- Historical comparison to determine whether the event is isolated or recurring
- Indicators showing how the event may evolve based on forecasted weather patterns
Because insights are designed to be quickly interpretable, users can understand what is happening without navigating multiple screens or datasets. Insights also act as the gateway to deeper analysis, allowing users to jump from high-level alerts into more granular exploration using the Visual Explorer.
Monitoring High-Risk Regions
Many users have specific regions they monitor more closely—areas that are historically vulnerable, agriculturally significant, or strategically important for food security. Using the dashboard, insights panel, and Visual Explorer together, users can quickly assess whether these regions are experiencing emerging stress or changes in crop performance.
Daily monitoring typically involves:
- Inspecting crop health indicators
- Reviewing rainfall or temperature anomalies
- Checking whether new insights have been triggered in key production zones
- Comparing current vegetative signals to typical seasonal patterns
This routine helps detect problems early, while they are still manageable, and enables effective coordination with regional teams or extension officers on the ground.
Exploring Crop Performance Using the Visual Explorer
The Visual Explorer is a core tool for understanding crop conditions in detail. It allows users to investigate where specific crops are grown, how they are performing compared to previous seasons, and whether forecasts indicate strong or weak yields. This combination of map visualizations and analytical charts provides users with a comprehensive, intuitive understanding of what is happening across the country.
Daily use of the Visual Explorer often involves:
- Switching between crop types to identify patterns
- Zooming into regions or districts to inspect local variations
- Viewing current-season forecasts to anticipate supply levels
- Identifying early signs of underperformance in vulnerable zones
Because forecasts refresh automatically as new satellite imagery and weather data arrive, users can rely on this view for timely, objective insight into how the season is progressing.
Comparing Current and Historical Seasons
A critical part of day-to-day analysis is understanding whether observed conditions are normal or unusual. Users can use the Visual Explorer history tab to contrast current crop performance with past years, making it easier to spot anomalies or emerging problems.
This helps answer questions such as:
- Is current stress in a region typical for this time of year?
- Are this year’s vegetative signals better or worse than historical averages?
- Is the forecasted production trend consistent with past patterns?
These comparisons are invaluable for anticipating challenges and ensuring response strategies are grounded in evidence rather than assumptions.
Responding to Risks Through Projects
When daily monitoring reveals a risk significant enough to warrant action, users often create or update Projects, which act as structured response plans linked directly to insights. Projects provide a workspace for documenting actions, assigning responsibilities, and tracking progress as conditions evolve.
Typical daily project-related tasks include:
- Reviewing the status of interventions associated with active risks
- Checking for new information that may require adjusting a response plan
- Documenting field reports or feedback from regional teams
- Monitoring automatic updates triggered by new satellite or weather data
By maintaining a clear chain of context—connecting insights to interventions—projects ensure transparency and accountability across departments, while also capturing knowledge that will inform future seasons.
Using Data Layers and Extensibility for Quick Assessments
The Visual Explorer provides a fully interactive, geospatial view of crop conditions, environmental factors, and detected risks. The Visual Explorer is designed to be extensible, where additional features just as the ability to toggle between a growing number of data layers and navigate down to map tile level to explore conditions at any tile within the country.
By combining diverse data layers, users will be able to identify correlations and better understand the factors influencing crop performance. The map responds intuitively as users zoom, pan, or select areas of interest, making it a versatile tool for both high-level analysis and targeted investigation.