Florianópolis, Brazil

Patryk Alexandre Goncalves

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Patryk Alexandre Goncalves: Innovator in Agricultural Technology

Introduction

Patryk Alexandre Goncalves is a notable inventor based in Florianópolis, Brazil. He has made significant contributions to the field of agricultural technology, particularly through his innovative patent that enhances the efficiency of agricultural harvesters. His work exemplifies the intersection of technology and agriculture, aiming to improve productivity in farming practices.

Latest Patents

Patryk holds a patent for a "System and method for an agricultural harvester." This system incorporates one or more processors and non-transitory computer-readable media that store a machine-learned mass estimation model. The model is designed to receive data related to various operation-related conditions for an agricultural harvester and process this data to determine an output indicative of stalk mass. The system's operations include obtaining relevant data, inputting it into the mass estimation model, and receiving a value for stalk mass over a defined time period. This innovation is crucial for optimizing harvesting processes and enhancing yield predictions.

Career Highlights

Patryk is currently employed at CNH Industrial America LLC, where he continues to develop and refine technologies that support agricultural efficiency. His role involves collaborating with other professionals in the field to implement cutting-edge solutions that address the challenges faced by modern agriculture.

Collaborations

One of Patryk's notable coworkers is Mauricio Blanco Infantini. Together, they work on advancing agricultural technologies that can significantly impact farming practices.

Conclusion

Patryk Alexandre Goncalves is a forward-thinking inventor whose work in agricultural technology is paving the way for more efficient farming methods. His innovative patent demonstrates the potential of machine learning in agriculture, contributing to the future of food production.

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