Merelbeke, Belgium

Hendrik A Van Den Bulcke

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: Hendrik A Van Den Bulcke. Retrieved from https://idiyas.com/inventor/hendrik-a-van-den-bulcke

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Hendrik A Van Den Bulcke

Introduction

Hendrik A Van Den Bulcke is an inventor based in Merelbeke, Belgium. He has made significant contributions to 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

Hendrik A Van Den Bulcke has submitted a patent application 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, utilizing a machine learning-based trained model applied by a processor. The system comprises 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

Hendrik A Van Den Bulcke's work exemplifies the integration of technology and agriculture, showcasing how machine learning can improve weed management practices. His innovative patent application reflects a commitment to advancing agricultural efficiency and sustainability.

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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