World-Leading High Accuracy
Crop Yield Prediction
SatYield introduces a novel method to crop yield prediction, by harnessing the power of Satellite Imagery, Computer Vision and Deep Learning, achieving a remarkable high accuracy prediction at a Field, County and State scale up to 4 months prior to harvest.
Yield Prediction up to 4 months prior to harvest
SatYield Crop Yield Prediction represents a groundbreaking approach in agricultural technology. Utilizing advanced satellite imagery, computer vision, and deep learning algorithms, it offers an unprecedented accuracy in predicting crop yields at various scales. from individual fields at 85%-90% accuracy and to counties and states 95% - 99%.
This innovative data-fusion AI platform operates globally, providing real-time, high-precision yield forecasts that remain reliable across diverse climates, weather and geographical regions, all without relying on historical ground data.
Versatile Crop Yield Estimator
Satyield Crop Simulator offers stakeholders in the food supply chain a transformative approach to precision agriculture by simulating diverse agricultural scenarios and generating actionable insights from historical and current season data, the AI-based crop simulator can predict optimal sowing dates, allocate resources efficiently and monitor a sustainable agricultural practices.
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We fuse data from multiple satellites, weather and soil sources, into a crop model simulator to calculate vegetation metrics and identify yield gaps, variability and optimization opportunities, without using any historical data and model training.
Wheat 2023, Harper County, Kansas, USA,
SatYield Results: 94%+ accuracy, 3 months before harvest.
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*compared to USDA ground truth.
Creating a baseline for past and in-season yields
SatYield method involves identifying crop fields, crop type and vegetation index using Sentinel-1 and Sentinel-2 data, which is crucial for accurate crop simulations. We also pioneered a data fusion technique that merges the strengths of different sensors from the high spatial resolution (10 meters) and the high spectral quality. This fusion creates a new dataset that allows for observing the growth of specific crops at a 10-meter resolution.
We are crop type, environment, and climate agnostic and can identify yield gaps, diagnose yield variability, and identify new ways of optimizing agricultural-related outcomes.
By analyzing Satellite data from the past five years, including weather, soil conditions, and ag-practices, We establish a baseline to assess current past and in-season yields.
“Crop yield forecasting is the holy grail of smart
agriculture. I’m approached regularly by firms stating
they can offer better forecasting accuracy, SatYield is
the only one that I am impressed by”
Chief Commodities Economist