Beijing, China

Zhemin Li

This inventor holds 1 USPTO granted patent. Top assignee: Agricultural Information Institute of Caas. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhemin Li. Retrieved from https://idiyas.com/inventor/zhemin-li-jmljkgb3

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Zhemin Li and Agricultural Nitrogen-Leaching Monitoring

Introduction

Zhemin Li is an inventor based in Beijing, China. His patent work includes a robotic system designed to monitor nitrogen leaching in farmland, connecting automated field measurements with cloud-based data management.

Latest Patents

Li is associated with 1 patent: “Robot System and Method for Monitoring Farmland Nitrogen Leaching.” The invention describes a system comprising a cloud platform, a monitoring robot, and a leachate collection module. The platform sends the robot the measurement site and target depth, then receives measurement information. At the site, the robot connects to the collection module at the specified depth, extracts leachate, tests it for nitrogen, and transmits the result to the platform.

Career Highlights

Li is associated with the Agricultural Information Institute of CAAS. His patent focuses on automating the collection and analysis of field data relevant to nitrogen movement through farmland.

Collaborations

The provided information lists Xian Li and Xiangnan He as Li’s coworkers. It does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Zhemin Li’s patent presents a robotic approach to measuring nitrogen in farmland leachate, combining field sampling, automated detection, and cloud-based reporting.

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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