Method and system for dynamically predicting deoxynivalenol content of wheat at harvest

US11640642B2 · kind B2 · utility

Assignee

• ACADEMY OF NATIONAL FOOD AND STRATEGIC RESERVES ADMINISTRATION · CN

Inventors

• Songxue Wang · Beijing, CN
• Jin Ye · Beijing, CN
• Sen Li · Hefei, CN
• Di Cai · Beijing, CN
• Bingjie LI · Shanghai, CN

Key dates

• Filing date: Jun 22, 2022
• Grant date: May 2, 2023
• Expiry date: Jun 22, 2042

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02A90/10
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

The present application provides a method and system for dynamically predicting a deoxynivalenol content of wheat at harvest, including: on the basis of historical data, screening out by particle swarm optimization algorithm combined factors suitable for establishing a prediction model, and establishing the prediction model by using the combined factors; on the basis of data of a current year, predicting a second flowering date and a second harvest date of wheat in the current year by an agricultural model; then obtaining a weather forecast on the basis of the second flowering date and the second harvest date, and combining the weather forecast and geographic data into correlated factors; and finally predicting the deoxynivalenol content of wheat at harvest by means of the prediction model and the correlated factors. Compared with the prior art, statistical items in the prediction model are more comprehensive, and growth period data of the current year can be dynamically predicted on the basis of growth period indexes model, thus continuously adjusting and establishing the prediction model. In addition, an overhead time for screening multi-dimensional large-batch data by the partic…