Somerville, MA, United States of America

Naveen Neil Sinha

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 by Naveen Neil Sinha in Agricultural Technology

Introduction

Naveen Neil Sinha is an accomplished inventor based in Somerville, 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 three patents to his name, Sinha is recognized for his work in optimizing crop production.

Latest Patents

One of Sinha'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 can optimize crop yields. The crop prediction system employs models trained on geographic and agronomic information. When a grower requests information, the system accesses data 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 can predict crop production and recommend an optimized set of farming operations for the grower.

Career Highlights

Sinha is currently employed at Indigo Ag, Inc., where he continues to develop innovative solutions for the agricultural sector. His work is instrumental in advancing the use of technology to improve farming practices and enhance productivity.

Collaborations

Some of Sinha's notable coworkers include David Patrick Perry and Geoffrey Von Maltzahn. Their collaborative efforts contribute to the innovative environment at Indigo Ag, Inc.

Conclusion

Naveen Neil Sinha's contributions to agricultural technology through his patents and work at Indigo Ag, Inc. highlight the importance of innovation in optimizing crop production. His advancements in machine learning applications are paving the way for more efficient farming practices.

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