Dybvad, Denmark

Mark Philip Philipsen

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Spraying Systems Co.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mark Philip Philipsen. Retrieved from https://idiyas.com/inventor/mark-philip-philipsen

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mark Philip Philipsen - Innovator in Weed Detection Technology

Introduction

Mark Philip Philipsen is an inventor based in Dybvad, Denmark. He has made significant strides in the field of agricultural technology, particularly in the area of weed detection and treatment. His innovative approach utilizes machine learning to enhance the efficiency of weed management in crop fields.

Latest Patent Applications

Philipsen's notable patent application is titled "SPOT WEED DETECTION AND TREATMENT WITHIN A FIELD OF VIEW IN ACCORDANCE WITH MACHINE LEARNING TRAINING." This application describes a weed spot-spraying system designed to implement a spot-based weed spraying method. The system operates based on a classification value derived from a sub-field image, which is processed using a machine learning-trained model. The components of the system include a camera, a spray nozzle assembly, and a processor. The method involves acquiring a full field of view image of a crop floor, extracting a sub-field image corresponding to the spray nozzle, rendering a classification for the sub-field image, and selectively activating the spray nozzle based on this classification.

Conclusion

Mark Philip Philipsen's contributions to weed detection technology demonstrate the potential of machine learning in agriculture. His innovative patent application reflects a commitment to improving crop management practices.

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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