This inventor holds 1 USPTO granted patent. Top assignee: Deere & Company. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Daniel Williams and Agricultural Innovation.
Introduction
Daniel Williams is an inventor based in Sacramento, California, whose patent work addresses the use of machine learning and image analysis in agriculture. He is associated with Deere & Company and has one patent listed in the information provided.
Latest Patents
Williams’s patent, “Generating Agronomic Inferences from Extracted Individual Plant Components,” describes analyzing sampled parts of plants to infer characteristics of the larger plant organs from which they came. Digital images of the samples can be processed using machine-learning models to produce agronomic inferences. Those inferences may support diagnoses or recommendations for growers, or help automate agricultural equipment, including robots.
Career Highlights
The patent reflects an approach to crop analysis that connects observations of individual plant components with insights about whole plant organs. Its proposed applications include helping growers make decisions and enabling automated agricultural operations.
Collaborations
Williams is associated with Deere & Company. Cameron Cruz is identified as a coworker.
Conclusion
Daniel Williams’s patent explores how image analysis and machine learning can turn samples of plant components into useful agronomic insights for growers and agricultural equipment.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile