Sunnyvale, CA, United States of America

Jie Yang

This inventor holds 40 USPTO granted patents and 4 published patent applications, plus 4 CIPO patents and 7 EPO patents, primarily in Agricultural Technology. Top assignees: Google Inc., X Development LLC, Mineral Earth Sciences LLC. Active years: 2007-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jie Yang. Retrieved from https://idiyas.com/inventor/jie-yang-u74ohjnk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 40 

% Patents Active = 90.0

 

 

Average Co-Inventor Count = 4.4

ph-index = 8

Forward Citations = 606(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2017 - 2019)
  • Sunnyvale, CA (US) (2007 - 2024)

Company Filing History:


Years Active: 2007-2026

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Areas of Expertise:
Crop Yield Prediction
Individual Plant Recognition
Soil Organic Carbon
High-Elevation Imagery
Field Segmentation
Crop Boundary Detection
Image Classification
Operational Data Analysis
Transient Obstruction Detection
Synthetic Image Generation
Machine Learning Models
Document Classification
40 patents (USPTO):Explore Patents

Title: Innovations and Patents of Jie Yang

Introduction: Jie Yang, located in Sunnyvale, CA, is an accomplished inventor with an impressive portfolio of 37 patents. His significant contributions to machine learning and agricultural technology have made substantial impacts on plant recognition and localization.

Latest Patents: Among Jie Yang's latest inventions are two notable patents. The first, titled "Individual Plant Recognition and Localization," describes methods for training and applying machine learning models to digital images of plants. This technology enables the recognition of individual plants by analyzing images and associated data, cultivating a unique association with past captured images of the same plant.

His second recent patent, "Localization of Individual Plants Based on High-Elevation Imagery," outlines techniques for localizing individual plants utilizing high-elevation images captured at various resolutions. By analyzing a collection of these images to identify invariant anchor points, his approach enhances the accuracy of mapping between high and lower-resolution images, allowing for detailed localization and improved execution of agricultural tasks.

Career Highlights: Jie Yang has a distinguished career, having worked for renowned companies such as Google Inc. and X Development LLC. His role at these organizations has allowed him to pioneer advancements in technology and contribute to innovative solutions in both data analysis and agricultural methodologies.

Collaborations: Throughout his career, Jie has collaborated with esteemed colleagues, including Cheng-en Guo and Elliott Grant. Their combined expertise in technology and innovation has facilitated the development of breakthrough inventions that push the boundaries of current knowledge and applications in plant technology.

Conclusion: Jie Yang's dedication to innovation is reflected in his numerous patents and advancements in the fields of machine learning and agriculture. His pioneering work not only enhances plant recognition and localization but also exemplifies the critical role that inventors play in the advancement of technology and practical applications for modern challenges.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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