Menlo Park, CA, United States of America

Hao Zhong


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2018-2023

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3 patents (USPTO):Explore Patents

Title: Innovations of Hao Zhong in Agricultural Intelligence

Introduction

Hao Zhong is a notable inventor based in Menlo Park, California, recognized for his contributions to agricultural intelligence. With a total of three patents, he has made significant strides in the field of data analysis and its application in agriculture.

Latest Patents

Hao Zhong's latest patents focus on generating pixel maps from non-image data and developing difference metrics for pixel maps. These systems and methods enable scalable comparisons between two pixel maps. The agricultural intelligence computer system he has developed transforms various values and location data into pixel values and locations. This non-image data can include critical information about agricultural fields, such as nutrient content, pH values, soil moisture, elevation, temperature, and measured crop yields. The system converts each pixel map into a vector of values and generates a matrix of metric coefficients based on spatial distances between pixel locations. This allows for the creation of a difference metric that identifies variations between the two pixel maps. The difference metric is normalized to ensure scalability across pixel maps of different sizes. This innovation can be utilized to select images that best match measured yields, identify relationships between field values and crop yields, and enhance agronomic models of predicted yield.

Career Highlights

Hao Zhong is currently employed at The Climate Corporation, where he applies his expertise in agricultural technology. His work focuses on leveraging data to improve agricultural practices and outcomes.

Collaborations

Hao Zhong collaborates with Ying Xu, contributing to advancements in agricultural intelligence and data analysis.

Conclusion

Hao Zhong's innovative work in generating pixel maps and difference metrics significantly enhances agricultural intelligence, paving the way for improved agricultural practices and productivity.

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