This inventor holds 1 USPTO granted patent. Top assignee: Cnh Industrial America LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Matheus Eduardo Dos Santos: Innovator in Agricultural Technology
Introduction
Matheus Eduardo Dos Santos is a notable inventor based in Piracicaba, Brazil. He has made significant contributions to the field of agricultural technology, particularly in the area of crop yield estimation. His innovative approach combines machine learning with agricultural practices to enhance productivity and efficiency.
Latest Patents
Matheus holds a patent for a "System and method for estimating crop yield for an agricultural harvester using a machine-learned model." This patent describes a computing system designed to estimate crop yields for agricultural harvesters. The system includes one or more processors and non-transitory computer-readable media that store a machine-learned yield estimation model. This model processes data related to operation conditions of agricultural harvesters to determine yield-related parameters indicative of crop yield. The system is configured to obtain data, input it into the model, and output a value for the yield-related parameter.
Career Highlights
Matheus is currently employed at CNH Industrial America LLC, where he applies his expertise in agricultural technology. His work focuses on developing innovative solutions that leverage machine learning to improve agricultural practices. With a patent portfolio that includes 1 patent, he is recognized for his contributions to the industry.
Collaborations
Matheus collaborates with talented individuals such as Daenio Cleodolphi and João Augusto Marcolin Lucca. These partnerships enhance the development of innovative agricultural technologies and foster a collaborative environment for research and development.
Conclusion
Matheus Eduardo Dos Santos is a pioneering inventor whose work in agricultural technology is making a significant impact. His innovative patent for estimating crop yields demonstrates the potential of machine learning in enhancing agricultural efficiency. Through his career at CNH Industrial America LLC, he continues to contribute to advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile