Leatherhead, United Kingdom

Christopher Edward Bacon


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovations by Christopher Edward Bacon

Introduction

Christopher Edward Bacon is an accomplished inventor based in Leatherhead, GB. He has made significant contributions to the field of agricultural technology, particularly in crop field segmentation and classification. His innovative approach utilizes advanced machine learning techniques to enhance the accuracy of crop field boundaries.

Latest Patents

Christopher holds a patent for "Field segmentation and classification." This invention relates to improved methods for detecting boundaries between crop fields more accurately. The implementation involves using high-elevation images that capture areas containing multiple demarcated fields. These images serve as input for one or more machine learning models, which generate a boundary enhancement channel. Each pixel in this channel is spatially aligned with corresponding pixels in the high-elevation images. Furthermore, each pixel is classified with a unit angle relative to a reference location within the field. This technology allows for the determination of pixel-wise field memberships, enhancing the precision of agricultural practices.

Career Highlights

Christopher is currently employed at X Development LLC, where he continues to innovate in the agricultural technology sector. His work focuses on applying machine learning to solve complex problems in crop management and classification.

Collaborations

Christopher collaborates with talented individuals such as Alex Wilson and Jie Yang, who contribute to the development and implementation of his innovative ideas.

Conclusion

Christopher Edward Bacon's contributions to crop field segmentation and classification demonstrate the potential of technology in enhancing agricultural practices. His innovative patent reflects a commitment to improving efficiency and accuracy in farming.

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