Christian Klukas

This inventor holds 9 USPTO granted patents and 1 published patent application and 8 EPO patents. Top assignees: Basf Se Corporation, Carl Zeiss Microscopy Gmbh. Active years: 2024-2026.

USPTO Granted Patents = 9 (Patent Applications = 1)

% Patents Active = 100.0

EPO Patents = 8 (Patent Applications = 12)

Average Co-Inventor Count = 8.2

ph-index = 1

Forward Citations = 1(Granted Patents)

Company Filing History:

Carl Zeiss Microscopy Gmbh

patents

Years Active: 2024-2026

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9 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12682985 - Computer-implemented method for providing training data for a machine learning algorithm for classifying plants infested with a pathogen (2026-07-14),

2. 12566959 - Quantifying plant infestation by estimating the number of biological objects on leaves, by convolutional neural networks that use training images obtained by a semi-supervised approach (2026-03-03),

3. 12468943 - System and method for estimating vegetation coverage in a real-world environment (2025-11-11),

4. 12450862 - Quantifying biotic damage on plant leaves, by convolutional neural networks (2025-10-21),

5. 12432437 - Method and system for event-based imaging (2025-09-30),

6. 12307645 - Quantifying biotic damage on plants, by separating plant-images and subsequently operating a convolutional neural network (2025-05-20),

7. 12283053 - System and method for determining damage on crops (2025-04-21),

8. 12142033 - System and method for identification of plant species (2024-11-12),

9. 12073327 - Quantifying objects on plants by estimating the number of objects on plant parts such as leaves, by convolutional neural networks that provide density maps (2024-08-27),

Title: Christian Klukas: Innovator in Plant Analysis Technologies

Introduction

Christian Klukas is a notable inventor based in Limburgerhof, Germany. He has made significant contributions to the field of plant analysis technologies, holding a total of 9 patents. His work focuses on innovative methods for estimating vegetation coverage and quantifying biotic damage in crop plants.

Latest Patents

One of Klukas's latest patents is a system and method for estimating vegetation coverage in a real-world environment. This computer-implemented method utilizes an RGB image of a real-world scenery containing various plant elements. The system employs a semantic regression neural network to estimate a near-infrared channel from the RGB image. It then segments the image into pixels associated with plant elements and those that are not, resulting in a vegetation coverage map.

Another significant patent involves quantifying biotic damage on plant leaves using convolutional neural networks. This method processes leaf images from crop plants to derive a segmented image that identifies the main leaf. A second convolutional neural network is then used to assess the degree of damage, providing valuable insights for agricultural practices.

Career Highlights

Throughout his career, Klukas has worked with prominent companies such as BASF SE Corporation and Carl Zeiss Microscopy GmbH. His experience in these organizations has contributed to his expertise in plant analysis technologies and innovation.

Collaborations

Klukas has collaborated with talented individuals in his field, including Artzai Picon Ruiz and Jone Echazarra Huguet. Their combined efforts have further advanced the development of technologies aimed at improving plant health and productivity.

Conclusion

Christian Klukas is a pioneering inventor whose work in plant analysis technologies has the potential to transform agricultural practices. His innovative patents and collaborations highlight his commitment to advancing the field and addressing challenges in crop management.