Cedar Falls, IA, United States of America

Paul Gray


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 41(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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5 patents (USPTO):Explore Patents

Title: The Innovations of Paul Gray

Introduction

Paul Gray is an accomplished inventor based in Cedar Falls, Iowa, with a notable portfolio of five patents. His work primarily focuses on agricultural technology, particularly in the realm of livestock management and data collection.

Latest Patents

One of Gray's latest patents involves a sophisticated agricultural data collection framework. This system utilizes ultra-high frequency (UHF) interrogation of radio frequency identification (RFID) tags to track and manage livestock. It analyzes various animal conditions, including health, growth, nutrition, and behavior. The framework employs artificial intelligence techniques to create machine learning-based models for statistical process controls around each animal. This innovation allows for the evaluation of individual animal conditions and provides alerts, predictions, and a targeted processing schedule for resource allocation when intervention is necessary.

Career Highlights

Throughout his career, Paul Gray has made significant contributions to the field of agricultural analytics. He has worked with Performance Livestock Analytics, Inc., where he has been instrumental in developing technologies that enhance livestock management practices. His inventions have the potential to revolutionize how farmers monitor and care for their animals.

Collaborations

Gray has collaborated with notable professionals in his field, including Dane T Kuper and Dustin C Balsley. These partnerships have further enriched his work and contributed to the advancement of agricultural technology.

Conclusion

Paul Gray's innovative contributions to livestock management through his patents demonstrate his commitment to improving agricultural practices. His work not only enhances the efficiency of livestock tracking but also promotes better animal welfare through data-driven insights.

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