North Grafton, MA, United States of America

Andrea Lee Flaherty

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 Andrea Lee Flaherty in Agricultural Technology

Introduction

Andrea Lee Flaherty is an accomplished inventor based in North Grafton, MA (US). She has made significant contributions to the field of agricultural technology, particularly through her work in machine learning applications for crop production. With a total of three patents to her name, Flaherty is recognized for her innovative approaches to optimizing farming operations.

Latest Patents

Flaherty's latest patents focus on a crop prediction system that utilizes machine learning to enhance agricultural practices. This system performs various machine learning operations to predict crop production and identify a set of farming operations that can optimize yields. The crop prediction system is designed to access geographic and agronomic information, allowing it to provide tailored recommendations to growers. By analyzing data such as weather conditions and soil composition, the system applies crop prediction models to forecast production and suggest the most effective farming strategies.

Career Highlights

Flaherty is currently employed at Indigo Ag, Inc., where she continues to develop innovative solutions for the agricultural sector. Her work is instrumental in bridging the gap between technology and farming, enabling growers to make informed decisions based on predictive analytics.

Collaborations

Flaherty collaborates with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. These partnerships enhance her research and development efforts, contributing to the advancement of agricultural technologies.

Conclusion

Andrea Lee Flaherty's contributions to agricultural technology through her innovative patents and collaborative efforts position her as a key figure in the field. Her work not only advances machine learning applications but also supports sustainable farming practices.

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