Boston, MA, United States of America

Fernando Derossi

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

Loading Chart...
Loading Chart...
3 patents (USPTO):Explore Patents

Title: Innovations by Fernando Derossi in Agricultural Technology

Introduction

Fernando Derossi is an accomplished inventor based in Boston, MA, known for his contributions to agricultural technology. He holds three patents that focus on the application of machine learning in farming practices. His work aims to optimize crop production through innovative systems that leverage data and predictive modeling.

Latest Patents

One of Fernando Derossi's latest patents is 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. It is responsive to requests from growers, accessing information about specific land areas, including weather conditions and soil composition. By applying these models, the system can predict crop production and recommend optimized farming operations for growers.

Career Highlights

Fernando Derossi 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 in farming, making it more efficient and data-driven.

Collaborations

Fernando collaborates with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. Their combined expertise contributes to the development of cutting-edge agricultural technologies.

Conclusion

Fernando Derossi's innovative work in machine learning applications for agriculture demonstrates the potential of technology to transform farming practices. His contributions are paving the way for more efficient and productive agricultural methods.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…