GEO-INFER-AG Module Development Rules

Module Overview

GEO-INFER-AG provides agricultural methods and farming applications for precision agriculture and crop monitoring.

Module-Specific Context

Purpose: Provide agricultural analysis and precision farming capabilities
Module Type: Domain-Specific
Status: Beta
Dependencies: SPACE, TIME, DATA
Key Integrations: GEO-INFER-AI, GEO-INFER-ECON

Core Development Principles

This module extends the root framework rules (see /.cursorrules) with module-specific requirements:

Agricultural Implementation Requirements

1. Crop Monitoring: Implement real crop monitoring with satellite imagery
2. Yield Prediction: Use real yield prediction models
3. Precision Agriculture: Implement real precision agriculture tools
4. Soil Analysis: Provide real soil analysis capabilities
5. Weather Integration: Integrate real weather data

Module-Specific NO MOCK Requirements

• NEVER create placeholder agricultural models
• NEVER skip data validation
• NEVER omit spatial accuracy
• ALWAYS implement real agricultural algorithms
• ALWAYS use proper geospatial data

Real Implementation Requirements

• Crop Analysis: Implement real crop health analysis
• Yield Models: Use real yield prediction models
• Precision Tools: Implement real precision agriculture workflows
• Soil Analysis: Use real soil data processing
• Weather Integration: Integrate real weather APIs

Dependencies and Integration

Required Modules

• GEO-INFER-SPACE: Spatial operations for field mapping
• GEO-INFER-TIME: Temporal analysis for crop cycles
• GEO-INFER-DATA: Data management for agricultural data

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Remember: This module implements agricultural applications. Every implementation must use real agricultural data, proper spatial analysis, and comprehensive crop monitoring. No placeholders, no dummy data - only real, working agricultural implementations.