Lake St. Louis, MO, United States of America

Matthew Sorge

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 10.1

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2021-2024

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3 patents (USPTO):Explore Patents

Title: Innovations by Matthew Sorge in Agricultural Technology

Introduction

Matthew Sorge is an accomplished inventor based in Lake St. Louis, MO (US). He has made significant contributions to the field of agricultural technology, holding a total of 3 patents. His work focuses on utilizing advanced technologies to enhance agricultural operations and improve yield predictions.

Latest Patents

One of Matthew Sorge's latest patents involves using machine learning-based seed harvest moisture predictions to improve computer-assisted agricultural farm operations. This innovation generates digital plans for agricultural fields by receiving various digital inputs, including stress risk data, product maturity data, field location data, planting date data, and harvest date data. The model correlates these inputs with threshold data associated with stress risk, allowing for the generation of stress risk prediction data. This data can then be used to adjust product maturity, planting, or harvest dates in a digital plan, which can be transmitted to field managers for operational adjustments.

Another notable patent focuses on hybrid seed selection and seed portfolio optimization by field. This technique involves generating a set of target hybrid seeds with optimal yield and risk performance. A server receives a candidate set of hybrid seeds along with their probability of successful yield values and historical agricultural data. It selects a subset of hybrid seeds that exceed a filtering threshold based on these values. The server then generates a dataset of target hybrid seeds for planting, which includes yield and risk values tailored to specific target fields.

Career Highlights

Matthew Sorge is currently employed at The Climate Corporation, where he continues to innovate in the agricultural technology sector. His work is instrumental in developing solutions that leverage data and machine learning to enhance farming practices.

Collaborations

Matthew has collaborated with notable colleagues, including Timothy Reich and Jason Kendrick Bull, contributing to the advancement of agricultural technologies through teamwork and shared expertise.

Conclusion

Matthew Sorge's innovative patents and contributions to agricultural technology demonstrate his commitment to improving farming practices through advanced data-driven solutions. His work not only enhances operational efficiency but also supports sustainable agricultural practices.

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