Our technology makes it possible to observe and measure land and water resources for every farm on the planet

1. We integrate data streams from multiple remote sensors to create a comprehensive view of farmland:

Data from 20+ different satellites are processed with our fusion algorithms, which eliminate data gaps and remove the effects of clouds.
This data is integrated with information gathered from sensors mounted on airplanes, automobiles, and ground sensor networks. Integration of all of this data is made possible by our proprietary algorithms, which have been verified with actual “ground truth” information, creating a quantitative analysis of individual fields at 30-meter resolution and daily frequency, recording the past 20+ years. Then we apply our scientific models and proprietary algorithms to evaluate crop growth conditions (eg photosynthesis, biomass), water use, biochemical status (nitrogen and phosphorus), and management practices (eg planting/harvesting time, field...
Our technology makes it possible to observe and measure land and water resources for every farm on the planet

1. We integrate data streams from multiple remote sensors to create a comprehensive view of farmland:

Data from 20+ different satellites are processed with our fusion algorithms, which eliminate data gaps and remove the effects of clouds.
This data is integrated with information gathered from sensors mounted on airplanes, automobiles, and ground sensor networks. Integration of all of this data is made possible by our proprietary algorithms, which have been verified with actual “ground truth” information, creating a quantitative analysis of individual fields at 30-meter resolution and daily frequency, recording the past 20+ years. Then we apply our scientific models and proprietary algorithms to evaluate crop growth conditions (eg photosynthesis, biomass), water use, biochemical status (nitrogen and phosphorus), and management practices (eg planting/harvesting time, field boundaries, crop type, cover crop, tillage). Ground truth data allows us to reconstruct historical conditions and create forecasts.

2. We use these insights to constrain a proven scientific model:

Starting with a well-established scientific model for simulating entire agriculture ecosystems, we add proprietary improvements that incorporate hundreds of variables above and below ground. Then we constrain the model with actual observations, allowing us to reliably and realistically create a holistic view of each farm. This effort has created the most advanced model for crop growth, carbon cycles, and nutrient dynamics.

3. We integrate data insights with the scientific model, and use artificial intelligence and supercomputers to scale up this process for every farm.

Using AI and advanced mathematical tools to combine the data and model, we created the first real forecasting capabilities for agroecosystems. We are able to directly see how different components of carbon, water, and nutrients change during the growth season and how they are impacted by farming practices. Additionally, we can create simulations that make it possible to predict the outcomes of various changes, from switching crop varieties and management practices, to assessing the impacts of climate change. With the aid of supercomputers and cloud computing, we can process millions of farm-level simulations simultaneously, allowing us to achieve field-level accuracy over large geographic areas.
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Employees

Eugene Losev
Admin
Eugene Losev COO I am a scientist, investor and advisor to startups in the software and life science spaces. I am a former founder with a successful exit