This inventor holds 3 USPTO granted patents and 4 published patent applications. Top assignee: Indigo Ag, Inc.. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2025
Title: Innovations of Justin Y H Wong in Agricultural Technology
Introduction
Justin Y H Wong is an accomplished inventor based in Boston, MA, with a focus on agricultural technology. He holds three patents that showcase his expertise in machine learning applications within the agricultural sector. His innovative work aims to optimize crop production through advanced predictive systems.
Latest Patents
One of Justin's latest patents involves a crop prediction system that utilizes machine learning to enhance agricultural practices. This system performs various operations to predict crop production and identify a set of farming operations that can optimize yields. By leveraging crop prediction models trained on geographic and agronomic data, the system can respond to requests from growers. It accesses information about specific land areas, including weather conditions and soil composition, to provide tailored recommendations. The crop prediction system applies these models to predict crop production and suggest optimized farming operations for growers.
Career Highlights
Justin Y H Wong is currently employed at Indigo Ag, Inc., where he contributes to the development of innovative agricultural solutions. His work focuses on integrating machine learning technologies to improve farming efficiency and productivity. His contributions have positioned him as a key player in the field of agricultural technology.
Collaborations
Justin collaborates with notable colleagues, including David Patrick Perry and Geoffrey Von Maltzahn. These partnerships enhance the development of cutting-edge agricultural technologies and foster innovation within the industry.
Conclusion
Justin Y H Wong's contributions to agricultural technology through his patents and work at Indigo Ag, Inc. demonstrate his commitment to improving crop production using machine learning. His innovative approaches are paving the way for more efficient and sustainable farming practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
