🌱 Issue #45 — AI-Powered Crop Advisory System #74
Description
Introduce an advanced AI-powered crop advisory system that provides farmers with personalized recommendations for planting, fertilization, irrigation, and pest management based on historical farm data, weather forecasts, and market trends. This feature empowers farmers to make data-driven decisions and maximize crop yield.
Objectives
Deliver tailored farming advice to individual farmers.
Reduce crop losses due to suboptimal practices.
Integrate AI insights with the Farm Vault and Dashboard.
Enhance user engagement by offering actionable intelligence.
Requirements
1️⃣ AI Recommendation Engine
Use LLMs or fine-tuned models to analyze farmer inputs (crop type, soil, location) and provide actionable suggestions.
2️⃣ Historical Data Analysis
Leverage farm records and seasonal trends from the database to improve accuracy.
3️⃣ Integration with Weather & Market Data
Combine AI outputs with real-time weather forecasts and crop prices for dynamic recommendations.
4️⃣ User Feedback Loop
Allow farmers to confirm or adjust AI suggestions to continuously improve model performance.
Technical Suggestions
Frontend: React + TailwindCSS forms for input and results.
Backend: NestJS microservice for AI inference.
Libraries: OpenAI API or Hugging Face models; PostgreSQL for historical farm data.
Expected Outcome
Farmers receive personalized, actionable crop management advice.
Increased trust and engagement with the platform.
Demonstrable improvement in predicted yield recommendations.
Acceptance Criteria
AI engine generates actionable crop suggestions.
Recommendations consider weather, soil, and market data.
Dashboard displays AI advice intuitively.
Feedback from farmers is captured and stored.