Winchester, MA, United States of America

Gerard Keating

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: Gerard Keating: Innovator in Agricultural Technology

Introduction

Gerard Keating is a notable inventor based in Winchester, MA (US). He has made significant contributions to the field of agricultural technology, particularly through his innovative use of machine learning in farming practices. With a total of 3 patents, Keating is recognized for his advancements that aim to optimize crop production.

Latest Patents

One of Gerard Keating's latest patents focuses on a crop prediction system that utilizes machine learning operations to predict crop production. This system identifies a set of farming operations that, if performed, can optimize crop yields. The crop prediction system employs models trained on 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 suggests an optimized set of farming operations for the grower.

Career Highlights

Gerard Keating 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 it easier for growers to make informed decisions based on data-driven insights.

Collaborations

Throughout his career, Keating has collaborated with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. These partnerships have further enhanced his ability to innovate and contribute to the agricultural technology landscape.

Conclusion

Gerard Keating's work exemplifies the intersection of technology and agriculture, showcasing how machine learning can transform farming practices. His contributions are paving the way for more efficient and productive agricultural methods.

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