Cambridge, MA, United States of America

Jordan Lambert

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 Jordan Lambert

Introduction

Jordan Lambert is an accomplished inventor based in Cambridge, MA (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, Lambert is dedicated to optimizing crop production and enhancing farming practices.

Latest Patents

One of Lambert'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

Jordan Lambert is currently associated with Indigo Ag, Inc., where he continues to develop innovative solutions for the agricultural sector. His work is instrumental in bridging the gap between technology and farming, making significant strides in how crops are managed and produced.

Collaborations

Lambert collaborates with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. Their combined expertise fosters a creative environment that drives innovation in agricultural technology.

Conclusion

Jordan Lambert's contributions to agricultural technology through his innovative patents and collaborative efforts are paving the way for smarter farming practices. His work exemplifies the potential of machine learning in enhancing crop production and optimizing agricultural operations.

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