Cedar Park, TX, United States of America

Ben Allen

USPTO Granted Patents = 3 


Average Co-Inventor Count = 33.0

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Ben Allen: Innovator in Agricultural Technology

Introduction

Ben Allen is a notable inventor based in Cedar Park, TX (US), recognized for his contributions to agricultural technology. With a total of three patents to his name, he has made significant strides in the field of machine learning applications for farming.

Latest Patents

One of Ben Allen's latest patents focuses on machine learning in agricultural planting, growing, and harvesting contexts. This innovative crop prediction system performs various machine learning operations to predict crop production and identify a set of farming operations that, if performed, optimize crop production. The system utilizes crop prediction models trained on geographic and agronomic information. Upon receiving a request from a grower, the crop prediction system accesses information about a specific portion of land, including its location, weather conditions, and soil composition. It then applies one or more crop prediction models to this information to predict crop production and recommend an optimized set of farming operations for the grower to implement.

Career Highlights

Ben Allen is currently employed at Indigo Ag, Inc., where he continues to develop innovative solutions for the agricultural sector. His work focuses on integrating advanced technology with traditional farming practices to enhance productivity and sustainability.

Collaborations

Some of Ben's notable coworkers include David Patrick Perry and Geoffrey Von Maltzahn, who contribute to the collaborative environment at Indigo Ag, Inc. Their combined expertise fosters innovation and drives the development of cutting-edge agricultural technologies.

Conclusion

Ben Allen's work exemplifies the intersection of technology and agriculture, showcasing how machine learning can revolutionize farming practices. His contributions are paving the way for more efficient and sustainable agricultural methods.

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