Back
Case Studies

Genomic Yield Prediction

Mission:

Turn raw plant DNA data into real-world farming power.

Tagline

  • Growing better crops with smarter code.
  • AI-powered farming, from genome to yield

The Challenge:

A genomics client needed to predict crop yield based on genetic markers — think thousands of alleles, millions of data points, and huge performance stakes for future crop development.

How the Khares Analytics team helped:

  • Cleaned and engineered high-dimensional genomic data
  • Ran deep exploratory analysis to surface genetic–yield patterns
  • Trained and compared regression models at scale
  • Selected and tuned a Random Forest Regressor for top-tier performance

The Outcome:

Delivered a model that accurately forecasts crop yield — helping scientists identify high-potential plant lines and speed up breeding cycles. Faster innovation, stronger crops, smarter agriculture.
Next Project
Broadband Prospect Targeting