Agribusiness
Use Cases
A new era of crop monetization from space
With the proliferation of satellites launched over the last decade and SatYield ’s crop yield prediction engine being accurate at the pixel level for field, farm, and country scales, a new era of crop monetization from space has dawned.
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We are prepared to unleash commercial opportunities while helping to create a world free of hunger.
Finance and Insurance Agriculture
According to USDA In 2022 US farmers purchased over 1.2 million crop insurance policies, protecting 493 million acres.
SatYield helps insurance companies design better products and policies that lower the risk of crop loss while helping farmers increase their production. Its Crop yield prediction provides high accuracy estimation of the quantity and quality of crops that will be harvested in any given season.
By using data-driven models and deep learning techniques, insurance companies can tailor their premiums and payouts to the specific conditions and needs of each farmer, based on real-time data, reducing uncertainties of crops futures while increasing the trust and satisfaction of the farmers.
High accuracy crop yield prediction can also help farmers optimize their inputs and practices, such as plant date, fertilizers, irrigation, pest control, and harvesting time, to achieve higher yields and quality. This can improve their income and food security, as well as reduce their environmental impact.
Key applications for Crop Insurance
Providing high accuracy data at a micro and macro scale months ahead that leads to the optimization of the entire agricultural supply chain to minimize risks, uncertainties and increase the value to all stakeholders.
Land use planning and real-time crops observation
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From Sowing, planting to harvesting.
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Maximize land-use by applying appropriate ag practices.
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Plan Crop & Geo diversity for shortage in a supply chain.
Crop Yield modeling and growth estimating
Observe and Monitor the health of the crops and soil and Potential Yield during the season.
Risk assessment and mitigation
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Plan insurance premiums based on predicted Yield.
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Cash reserves management - determine potential compensation pre-harvest.
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Plan pricing strategy when and for how much to sell it.
Commodity Traders
Commodity traders face escalating complexities, especially in the crops sector, with staples such as Corn and Soybeans, while market volatility is a major challenge, fueled by geopolitical conflicts, policy shifts, and climate events.
To stay competitive, manage risks and make informed decisions swiftly and accurately, traders must wisely maneuver through this complex market landscape, integrating traditional trading strategies with advanced AI technologies.
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Key applications for Traders
SatYield AI-driven yield prediction is a powerful tool that can significantly benefit commodity traders to enhance accuracy, efficiency, and profitability in trading strategies.
Early Forecasting
Risk Management
Traders can obtain early and reliable forecasts of US and Global Crop Yields, three months prior to harvest with high accuracy (95%+) before traditional models and market reports are available.
Access to near real-time yield & production estimates, allows traders to better assess risks and make informed decisions, potentially leading to better market positioning and risk mitigation strategies.
Enhanced Strategic Planning
With advanced knowledge of potential yield and price variations, traders can plan their buying and selling strategies more effectively, optimizing their profit margins and market influence.