ML Analyzes Crop Minerals

A startup using AI and machine learning to improve crop mineral content and food quality. The founder trained a custom GPT model on scientific papers to optimize soil mineral content and growing conditions, with the goal of producing more nutritious food.

Key Points:

• AI/ML Implementation:

  • Scraped scientific papers from journals
  • Trained a custom GPT model specifically on agricultural/soil science
  • Uses AI to determine optimal mineral content for soil

• Current Product:

  • Growing mineral-rich berries without soil
  • Single serving contains 60% daily vitamin C (vs 5% in typical store-bought)
  • Already selling successfully with strong customer feedback

• Business Model:

  • Growing and selling premium, nutrient-dense produce
  • Focus on maximizing mineral content and nutritional value
  • Direct to consumer sales of berries currently

• Competitive Advantage:

  • Produces significantly higher nutrient content than conventional farming
  • Uses AI/ML to optimize growing conditions
  • Soilless growing system for better control

• Results:

  • Products already in market with strong customer adoption
  • Children "obsessed" with the berries according to testimonial
  • Demonstrably higher nutrient content than conventional alternatives