Pacifica, CA, United States of America

Yichuan Gui


Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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6 patents (USPTO):Explore Patents

Title: Innovations by Yichuan Gui in Plant Disease Detection

Introduction

Yichuan Gui is an accomplished inventor based in Pacifica, California, known for his significant contributions to the field of plant disease detection. With a total of six patents to his name, he has developed advanced systems that leverage deep learning techniques to identify and classify plant diseases effectively.

Latest Patents

One of Yichuan Gui's latest patents is focused on the detection of plant diseases using a multi-stage, multi-scale deep learning approach. This innovative computer system includes a classification model management server that receives images from user devices. It applies digital models to classify various regions within the images, providing detailed classification data back to the user. Another notable patent involves detecting infections in plants by utilizing a convolutional neural network (CNN). This system is designed to collect photos of infected plants, marking regions that show symptoms of disease. It determines anchor boxes with distinct aspect ratios for each convolutional layer, allowing for accurate identification of diseased plants in new photos.

Career Highlights

Yichuan Gui is currently employed at The Climate Corporation, where he continues to work on innovative solutions for agricultural challenges. His expertise in deep learning and image processing has positioned him as a key player in the development of technologies aimed at improving plant health and agricultural productivity.

Collaborations

Yichuan collaborates with his coworker, Wei Guan, to further enhance the capabilities of their systems and drive innovation in plant disease detection.

Conclusion

Yichuan Gui's work exemplifies the intersection of technology and agriculture, showcasing how innovations in deep learning can lead to significant advancements in plant disease management. His contributions are paving the way for more efficient agricultural practices and healthier crops.

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