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AI Agent Guide for Agricultural Productivity

1. Introduction

How to Ask the Right Questions

To get the most value from the AI agent, craft clear and specific prompts. A prompt directs the AI to focus on the exact information you need—think of it as shining a spotlight on a specific area of knowledge.

Tip Description
Be Precise Clearly state what you want (e.g., "Give me the scouting reports for Field A from June 2024").
Provide Context Include relevant details (e.g., field names, dates, or specific metrics) to narrow the focus.
Adjust as Needed If the response isn't quite right, refine your question to better direct the AI.

Each question builds on the previous one, making your interaction an efficient search for insights. Start with a strong prompt to minimize guesswork and maximize relevance.

What Results to Expect

The AI agent delivers actionable information based on your prompts. It can:

Capability Description
Retrieve Data Access information from AGMRI, including field, farm, or grower details; scouting reports; and weather information for specific fields.
Analyze Content Read and summarize scouting report contents.
Provide Insights Explain product details and offer agronomy guidance based on resources such as the Growmark documentation.

Expect responses that are specific, relevant, and aligned with the context you provide.

The Criteria for Successful Testing

Evaluate the AI agent’s performance using these criteria:

Criteria Description
Clarity of Requests Specific, well-defined questions yield better responses. Test using precise queries with sufficient context.
Defined Expectations Know what data or insights you need (e.g., report types, metrics) and verify that the AI delivers accordingly.
Feedback Mechanism Provide feedback on accuracy, relevance, or gaps in responses to drive ongoing improvements.
Realistic Scenarios Use real-world tasks (e.g., retrieving a grower's field data or analyzing a scouting report) to confirm practical value.

2. Key Areas Covered and How to Use the AI Agent

Field/Farm/Grower Selection

What It Is:

Retrieve data on specific fields, farms, or growers using the AI agent powered by AGMRI data.

How to Use It:

  • Ask for details by providing a field, farm, or grower name.
  • Search fields using criteria such as yield forecast, emergence score, growth stage, GDD, area affected, planted date, last flight activity, and precipitation (YTD, since season start, last 72 hours, 48 hours, or 24 hours), or observation tags (e.g., “Disease risk,” “Low Emergence,” “Weed Pressure,” “Nutrient deficiency,” “Rows N/A,” “Thermal stress,” “Underperforming area,” “Variable drydown”).

Important

Feature availability may vary in AGMRI. Please contact IntelinAir for detailed information about specific features and access rights.

  • Request field images for specific dates. Available image types include:
    • RGB: Standard aerial view.
    • NDVI: Normalized Difference Vegetation Index.
    • Thermal: Temperature variations across the field.
    • Infrared: Infrared spectrum imagery.
    • Vegetation Index: Analysis of plant health.
    • Emergence Map: Indicates crop emergence levels.
    • Nutrient Deficiency Map: Highlights nutrient-deficient areas.
    • Yield Map: Forecast or historical yield data.

Example

  • “How many fields do I have?”
  • “Tell me about the field 0955-Thatcher 95.”
  • “Show me the fields that were planted in March 2024.”
  • “Show me fields with the lowest emergence score.”
  • “Where are my fields that got below-average rain?”
  • “Show me the NDVI image for the field 0955-Thatcher 95 as of July 10, 2024.”

Note

If data is shown as “N/A” (e.g., for in-season metrics like emergence), it means the information is not yet available.

Scouting Reports

What It Is:

Access crop health data and field conditions through scouting reports (current season).

How to Use It:

  • Request the latest scouting report for a specific field or for a specified period
  • Retrieve a list of scouting reports for a specific area, such as a county.

Example

  • "What is the most recent scouting report for field 'Brenda S 5'?"
  • "Show me the scouting reports for Randolph County."

Scouting Reports (Advanced)

What It Is:

Dive deeper into scouting reports to identify trends and insights.

How to Use It:

  • Provide the list of scouting reports from the chat session to receive summaries categorized by issues (e.g., fertility, weeds, stand count, crop health, potential alerts).
  • Search for reports mentioning specific topics or keywords.

Example

  • "Give me a list of scouting reports that mention drainage issues."
  • "Summarize the scouting reports for my fields regarding weed pressure."

Crop & Commodity Prices (MyFS Only)

What It Is:

Access real-time market prices for crops and commodities, exclusively for MyFS users.

Available Commodities:

  • Corn
  • Soybean
  • Soybean Meal
  • Wheat
  • Hard Red Spring Wheat
  • Hard Red Winter Wheat
  • Oats
  • Rice
  • Live Cattle
  • Feeder Cattle
  • Ethanol

How to Use It:

  • Ask for the current price of a specific crop or commodity.

Example

  • "What is the current market price for corn today?"

3. Daily Workflow for Agronomists

This section outlines a practical daily routine for agronomists, using the AI agent to manage field tasks, support growers, and monitor market trends. The process leverages AGMRI data and integrates agronomy knowledge.

Start Your Day: Check Scouting Reports for Alerts

What to Do:

Begin by reviewing scouting reports on AGMRI to identify urgent issues, such as pest outbreaks or drainage problems.

How to Use the AI Agent:

Ask for the latest scouting reports or search for specific concerns.

Example

  • "What is the most recent scouting report for field 'Brenda S 5'?"
  • "Give me a list of scouting reports mentioning drainage issues in Randolph County."

Outcome: Quickly identify fields that need immediate attention.

Review Field Conditions: Identify Areas Needing Immediate Attention

What to Do:

Assess field health and prioritize tasks using AI-provided insights.

How to Use the AI Agent:

Retrieve field data or images based on criteria such as emergence score, yield forecast, or weather conditions.

Example

  • "Show me fields with the lowest emergence score."
  • "Where are my fields that got below-average rain?"
  • "Show me the NDVI image for field '0955-Thatcher 95' as of July 10, 2024."

Available Criteria: Yield forecast, emergence score, growth stage, planted date, GDD, precipitation (last 24/48/72 hours, YTD, or forecast), crops planted, last flight, and observation tags (e.g., Disease Risk, Low Emergence, Weed Pressure).

Outcome: Pinpoint problem fields with detailed data and visuals for informed decision-making.

Engage with Growers: Provide Suggestions Based on AI Insights

What to Do:

Offer growers tailored advice using field data and agronomy expertise.

How to Use the AI Agent:

Access field-specific insights and integrated agronomy knowledge to provide data-backed explanations and recommendations for growers.

Example

  • "What should I consider when applying fertilizer to 'Mark East' this week?"
  • "Which of my hybrids has the highest yield potential right now?"

Outcome: Deliver precise, data-backed recommendations to build trust and optimize grower outcomes.

What to Do:

Check crop and commodity prices to refine strategies and advise growers.

How to Use the AI Agent:

Access real-time market data from CME Group.

Example

  • "What is the current market price for corn today?”

Available Commodities:

- Corn
- Soybean
- Soybean Meal
- Wheat
- Hard Red Spring Wheat
- Hard Red Winter Wheat
- Oats
- Rice
- Live Cattle
- Feeder Cattle
- Ethanol

Outcome: Align field plans with market conditions for improved profitability.

Additional Notes

  • Field Data Access: Retrieve detailed information such as planting dates, weather, or activity logs (e.g., tillage, planting, harvest, application).

Example Prompt

  • “What is the planting date for ‘0955-Thatcher 95’?”
  • Data Gaps: If data shows “N/A,” it is unavailable due to seasonal timing or other factors.

5. Success Criteria

Success Criteria Description
Accuracy AI responses must include correct details from AGMRI data and agronomy resources.
Timeliness Retrieve and display data within an acceptable response time for user queries.
Relevance Answers should match the context and specifics of the prompt (e.g., dates, field names, metrics).
Actionability Provide insights that support informed decisions.
Data Completeness Ensure that fields show complete information (unless marked "N/A" due to timing factors).
User Feedback Incorporate a feedback loop for continuous improvement in AI responses.

6. Support & Feedback

  • Issues? Report them via the feedback function in the chatbot.
  • Feedback? Help improve the AI by sharing your experience.
  • Complex Queries? For more advanced queries, support will be included in the next release (version 1.5).