Kingston, NH, United States of America

William Pate

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: Innovations in Agriculture by William Pate

Introduction

William Pate is an accomplished inventor based in Kingston, NH (US). He has made significant contributions to the field of agricultural technology, particularly through his innovative use of machine learning. With a total of 3 patents, Pate is recognized for his work in optimizing crop production.

Latest Patents

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

Career Highlights

William Pate is currently associated with Indigo Ag, Inc., where he continues to develop innovative solutions for the agricultural sector. His work is instrumental in advancing the use of technology to enhance farming practices and improve crop yields.

Collaborations

Pate collaborates with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. Their combined expertise contributes to the development of cutting-edge agricultural technologies.

Conclusion

William Pate's contributions to agricultural innovation through machine learning are paving the way for more efficient farming practices. His work exemplifies the potential of technology to transform traditional agriculture into a more productive and sustainable industry.

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