Crop Yield Forecasting

Advance your agribusiness with AI: strategic crop forecasts up to 8 months ahead

Transform how you plan for the future with AI-driven insights that forecast crop yields months in advance, empowering you to make informed decisions to proactively optimize resources and maximize profitability.

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Infographic that shows how the Crop Yield Forecaster can be used months ahead
Efficient & sustainable

Select optimal seeds, crop inputs and timing for the best yield outcome.

Reduces risk

Minimize uncertainty & mitigate adverse effects from volatile weather, safeguarding crops & ensuring more stable production cycles.

Cost efficiency

Reduce unnecessary expenditures on inputs like water, fertilizers, and pesticides by aligning usage with predictive insights.

Weather explains 30-50% of variability in crops.


At the same time, we know the weather is becoming more volatile and traditional forecasting accuracy beyond two weeks is chaotic and poor.

Overcome unpredictable weather and uncertain harvests with our Yield Forecaster

To overcome these challenges we developed the Yield Forecaster. Our Yield Forecaster gives you insights in future conditions with unprecedented accuracy, months ahead. This insight allows for better resource management, reduced risk, and improved yields.

Armed with this invaluable foresight, agricultural stakeholders can proactively implement strategies to mitigate risks, optimize resource allocation, and safeguard investments, fostering a more resilient and sustainable agricultural sector.

With the Yield Forecaster, you can:

Anticipate crop yield outcomes months before the first seeds are sown, providing you with a decisive advantage in a competitive agricultural market.

Optimize resource allocation, including water, fertilizer, and labor, to maximize productivity and minimize waste.

Identify and proactively address potential risks associated with adverse weather conditions, safeguarding your crops and investments.

The Yield Forecaster is applicable for a wide variety of use cases

Farmers and agronomists

Optimize planting schedules and input applications.

Supply chain managers

Improve inventory management by aligning supply with predicted agricultural outputs.

Commodity traders

Leverage forecast data to make informed trading decisions based on anticipated crop yields.

Agribusiness executives

Use predictive analytics for strategic planning and global procurement initiatives.

Insurance companies

Enhance risk assessment models to set more accurate premiums.

Agricultural consultants

Offer more precise advice based on advanced forecasting, enhancing service value to farm operations.

Government & aid

Plan better food security strategies and resource allocations.

Scientists & researchers

Use data to validate climate impact theories, refine crop models and develop adaptation strategies.

Sustainable farming

Practice environmentally responsible farming by forecasting optimal resource usage.

Supporting scientific literature

Vijverberg, S, Hamed, R & Coumou, D.

Juli 14, 2023

  1. Understanding the weather signal in national crop-yield variability (ncbi.nlm)
  2. Climate variation explains a third of global crop yield variability (
  3. Data Science for Weather Impacts on Crop Yield (Frontiers)
  4. How do weather and climate influence cropping area and intensity? (ScienceDirect)
  5. Understanding the weather signal in national crop-yield variability (agupubs.onlinelibrary)

Experience the transformative potential of the Yield Forecaster firsthand with a personalized demo tailored to your specific agricultural needs.

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