Provincial-scale prediction method of winter wheat grain protein content

US12394042B2 · kind B2 · utility

Assignee

• SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY · CN

Inventors

• Zhenhai Li · Beijing, CN
• Xiaobin Xu · White Plains, US
• Hongchun Zhu · Fushun, CN
• Lili Zhou · Qingdao, CN
• Jibin Xu · Qingdao, CN
• Shizhe Wei · Qingdao, CN
• Xiaokang Zhang · Beijing, CN

Key dates

• Filing date: Jul 31, 2024
• Grant date: Aug 19, 2025
• Expiry date: Jul 31, 2044

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02A90/10
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A provincial-scale prediction method of a winter wheat grain protein content includes obtaining crop canopy spectral information of different spatial resolutions and spectral resolutions during a wheat growth period, performing preprocessing on the spectral information, performing feature selection based on pixel-wise phenology matching method, calculating, pixel by pixel, a maximal value of a spectral vegetation index within 90 days of each pixel maturity period, and selecting a vegetation index most highly correlated with the grain protein content for correlation analysis, and constructing a hierarchical linear model to perform prediction on the winter wheat grain protein content. In the present disclosure, the phenological difference of the relationship of remote-sensing information, climatic information and grain protein content is taken into account comprehensively, and pixel-wise phenology matching and hierarchical linear model are introduced, such that with key environmental factors as difference factors of the regional grain protein model.