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Report Title:Research on Wheat Seedling Monitoring Based on Multi source Information
Live broadcast time:November 5th, 10:00-11:00 AM
Guests of this issue:Yangzhou University - Professor Liu Tao
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Speaker Introduction
Liu TaoHe is a professor and doctoral supervisor at Yangzhou University. He is also a top-notch talent in the Yangzhou University High * Talent Program and a key teacher in the Qinglan Project. He has served as an editorial board member and guest editor for multiple SCI journals. Mainly engaged in research on wheat seedling monitoring and intelligent decision-making, developing various crop seedling monitoring methods and intelligent decision-making models based on multi-source sensors and artificial intelligence algorithms, and applying multiple achievements to crop production practice. Published 23 papers as a first author or corresponding author, including 9 papers in top tier journals in Zone 1; The first inventor was authorized to invent 11 patents and successfully converted 8 patents; Hosted 2 National Natural Science Foundation projects, 2 National Postdoctoral Fund projects, 2 National Key Research and Development Program tasks, and 2 sub projects of Jiangsu Provincial Key Research and Development Program; He has successively won the Crop Science and Technology Award and the First Prize of the Business Federation Science and Technology Progress Award.
Report content
The report focuses on precise monitoring of wheat seedlings, with spectral data as the key support, and integrates multiple types of data from the Internet of Things, radar, and AR glasses to conduct systematic research on key indicators of wheat growth throughout the entire cycle. The specific report content includes: research on achieving accurate estimation of wheat biomass throughout the entire growth period through multi-source data coupling and deep learning feature optimization; Research on estimating the number of wheat tillers based on drone spectral data and AR glasses data; Research on Winter Wheat Seedling Classification Based on Spectral Data; And research on the tolerance evaluation of late sowing wheat in Jiangsu region based on spectral data.This study provides practical reference for fully exploring the value of spectral data and efficiently conducting wheat seedling surveys.
