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Proven Solutions

Analyze past trends and anomalies to understand their impact on field productivity to answer: What happened and why?

 

  • Conduct historical time-series analysis to identify field trends, particularly focusing on nutrient and water content.

  • Utilize spectral analysis to compare past minimum and maximum values with current field conditions.

  • Assess how different field groups responded to various weather conditions.
     

Start an in-season continuous improvement process in collaboration with Digital Harvest:

 

  • Set alerts for early anomaly detection and compare with historical benchmarks.

  • Make data-driven decisions for field actions based on insights gained from historical analysis.

  • Continuously monitor field responses to actions for ongoing improvement.

Predictive analytics: What will happen?
 

  • Use a digital model that correlates a field's inputs—like fertilizer, water, and temperature—to its output, such as yield.

Optimization: What actions should be taken for better outcomes?

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  • Simulate and evaluate various scenarios digitally to observe how outputs change in response to different inputs.

  • Digitally test potential solutions and compare them to determine the optimal input-output parameters.

New solutions

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We actively listen, learn, and collaborate with our customers to develop custom solutions addressing both near and long-term challenges.
 
Payment is made only after the new solutions have been proven successful.

Interested?

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