Build 'SoilSense'—a $15K/year SaaS + IoT platform combining AI-driven soil sensors with carbon credit optimization. The platform would: 1) Deploy IoT probes (e.g., Stevens HydraProbe) with edge AI to monitor soil health metrics (e.g., 'Field #ABC: 7.2 pH, 3.5% organic matter'); 2) Provide a 'Regenerative Dashboard' showing real-time practice recommendations (e.g., 'Apply 2 tons/acre cover crop—projected 15% yield increase'); 3) Integrate with USDA/CCA APIs to auto-calculate carbon credits (e.g., 'Projected credits: 500 tons/year—$25K revenue'); 4) Offer a 'Yield Prediction Module' showing financial returns (e.g., '$45K additional profit with regenerative practices').

Farmers face soil erosion, declining yields, and carbon tax liabilities due to traditional tillage. Manual soil health testing is slow, expensive, and inconsistent. Current regenerative practices lack real-time monitoring and ROI visibility.