Boston, MA, United States of America

Jeremy Crane

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 of Jeremy Crane in Agricultural Technology

Introduction

Jeremy Crane is an accomplished inventor based in Boston, 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, Crane is dedicated to optimizing crop production and enhancing farming practices.

Latest Patents

One of Jeremy Crane's latest patents focuses on machine learning in agricultural planting, growing, and harvesting contexts. This 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.

Career Highlights

Jeremy Crane is currently employed at 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

Throughout his career, Crane has collaborated with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. These partnerships have fostered a creative environment that encourages the development of groundbreaking agricultural technologies.

Conclusion

Jeremy Crane's contributions to agricultural technology through his innovative patents and collaborations highlight the importance of integrating machine learning into farming practices. His work not only enhances crop production but also supports sustainable agricultural methods.

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