College Station, TX, United States of America

Lijia Sun

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Texas A&M University System. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lijia Sun. Retrieved from https://idiyas.com/inventor/lijia-sun

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022

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

Title: Innovations by Lijia Sun in Agricultural Technology

Introduction

Lijia Sun is an accomplished inventor based in College Station, TX (US). He has made significant contributions to agricultural technology, particularly in the field of irrigation systems. With a total of 2 patents, his work focuses on optimizing water usage and improving crop yields through innovative solutions.

Latest Patents

One of Lijia Sun's latest patents is titled "Irrigation system control with predictive water balance capabilities." This invention discloses various embodiments for reinforcement learning-based irrigation control. The goal is to maintain or increase crop yield while reducing water use. A computing device is configured to determine an optimal irrigation schedule for crops by applying reinforcement learning. The device assesses the total soil moisture and decides whether to wait or irrigate the crop. An immediate reward is assigned to the state-action pair, which includes the current soil moisture state and the action taken. The computing device then instructs the irrigation system to apply water according to the optimal schedule.

Another notable patent is "Agricultural sensor placement and fault detection in wireless sensor networks." This invention focuses on optimized sensor deployment and fault detection for agricultural irrigation. A computing device executes a genetic algorithm routine to determine the best sensor deployment scheme, maximizing the mean-time-to-failure for the system. This improvement enhances the communication of sensor measurements. Additionally, a centralized fault detection scheme is employed to infer soil moisture at locations of faulty nodes using spatial and temporal correlations.

Career Highlights

Lijia Sun is affiliated with The Texas A&M University System, where he conducts research and develops innovative technologies. His work has garnered attention for its practical applications in agriculture, particularly in enhancing irrigation efficiency and sustainability.

Collaborations

Lijia has collaborated with notable colleagues, including Jiang Hu and Dana O. Porter, who contribute to his research efforts and innovations in agricultural technology.

Conclusion

Lijia Sun's contributions to agricultural technology through his patents demonstrate his commitment to improving irrigation systems and promoting sustainable farming practices. His innovative approaches are paving the way for more efficient water usage in agriculture.

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]
Loading…