Organizing Your Data

Well-organized data is the foundation of effective farm management. Following these best practices will help you get the most value from Holo's features and AI-powered recommendations.

Field Organization

Start with a clear field structure:

• Use consistent naming conventions (e.g., "Field-01", "Greenhouse-A")
• Group related fields using locations or zones
• Include field size and boundaries accurately
• Document soil characteristics and irrigation setup
• Add notes about field history and special considerations

Crop and Variety Naming

Consistent naming makes data easier to find and analyze:

• Use standard crop names (e.g., "Lettuce" not "Lettuce Mix")
• Include variety information consistently
• Create a master list of crops and varieties
• Avoid abbreviations that might be unclear later
• Use the same names across all records

Data Entry Consistency

Consistent data entry improves accuracy and analysis:

• Enter data promptly after activities occur
• Use the same units throughout (metric or imperial)
• Follow standard quality grading systems
• Use consistent date and time formats
• Include relevant notes and observations

Historical Data

Historical data improves AI recommendations:

• Import historical harvest data if available
• Record soil test results over time
• Track pest and disease occurrences
• Maintain records of input applications
• Document weather events and their impacts

Data Quality

Maintain data quality through regular review:

• Review and correct errors promptly
• Reconcile inventory regularly
• Validate harvest forecasts against actuals
• Update field information as conditions change
• Archive or remove obsolete data

Using Tags and Categories

Leverage Holo's tagging system:

• Tag fields by growing method (organic, conventional)
• Tag crops by market (wholesale, retail, CSA)
• Use tags for special projects or trials
• Create custom categories for your operation
• Tags make filtering and reporting easier