SoilSerdem

SoilSerdem, an Ames, Iowa-based agricultural technology company, specializes in developing high-resolution, cost-effective soil fertility mapping technology. Founded by Yones Khaledian and Daniel Linton, the company utilizes advanced machine learning algorithms and remotely sensed data to create detailed soil maps based on core principles of soil science. Their proprietary technology differentiates itself by applying generalized landscape quantification to optimize soil sample collection and leveraging machine learning to produce accurate predictions from fewer samples without requiring additional hardware. This approach aims to streamline soil management by reducing costs and increasing efficiency compared to traditional mapping methods.

This technology provides significant value to agronomists and farmers by enabling more informed decisions regarding land use, crop production, and nutrient management. By making high-quality soil informatics more accessible, SoilSerdem helps operators improve farm profitability and soil health while supporting sustainable practices across various cropping systems, including corn, soybeans, wheat, potatoes, and cotton. The company has received multiple awards from the National Science Foundation, including a $1 million Phase II SBIR grant, to support the continued development and market expansion of its soil mapping solutions. Through participation in various entrepreneurship programs such as the ISU Startup Factory, the company continues to advance its goal of translating academic research into practical, precision agriculture tools for the commercial market.