Beijing, China

Taisheng Du


Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):

Title: Innovations by Taisheng Du in Crop Evapotranspiration Prediction

Introduction

Taisheng Du is a notable inventor based in Beijing, China. He has made significant contributions to the field of agricultural science, particularly in the area of crop evapotranspiration prediction. His innovative approach addresses the uncertainties associated with meteorological factors, which are crucial for effective agricultural planning and management.

Latest Patents

Taisheng Du holds a patent for a "Farmland reference crop evapotranspiration prediction method considering uncertainty of meteorological factors." This method involves acquiring a set number of groups of weather forecast data for a prediction region within a preset time period. Each group of weather forecast data is input into a Bayesian probability forecast system to obtain corrected weather forecast data. Subsequently, these corrected data are input into a trained RBF neural network to predict the farmland reference crop evapotranspiration. The invention aims to eliminate uncertainties in weather forecast data, providing accurate predictions that can enhance agricultural productivity.

Career Highlights

Taisheng Du is affiliated with the China Institute of Water Resources and Hydropower Research. His work focuses on integrating advanced statistical methods and neural networks to improve agricultural forecasting. His innovative contributions have the potential to significantly impact water resource management and agricultural efficiency.

Collaborations

Taisheng Du collaborates with esteemed colleagues such as Baozhong Zhang and Zheng Wei. Their combined expertise fosters a productive research environment, leading to advancements in agricultural technologies.

Conclusion

Taisheng Du's innovative work in crop evapotranspiration prediction exemplifies the intersection of technology and agriculture. His contributions are vital for enhancing agricultural practices and ensuring sustainable water resource management.

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