Method and system for monitoring rice bacterial blight in field based on multi-source data

US12315130B2 · kind B2 · utility

Assignee

• ZHEJIANG UNIVERSITY · CN

Inventors

• Xuping Feng · Hangzhou City, CN
• Xiulin Bai · Hangzhou City, CN
• Yong He · Nanchang, CN
• Jinnuo Zhang · Hangzhou City, CN
• Mingzhu Tao · Hangzhou City, CN
• Qingguan Wu · Hangzhou City, CN

Key dates

• Filing date: Jan 23, 2023
• Grant date: May 27, 2025
• Expiry date: Feb 1, 2044

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02A40/10
• WIPO field: Transport
• WIPO sector: Mechanical engineering

Abstract

A method for monitoring rice bacterial blight includes: obtaining a multi-spectral image, severities of the rice bacterial blight, and accumulated temperature data of a rice field at different growth stages; obtaining resistance of rice varieties to the bacterial blight; extracting a mean canopy spectral reflectance of each plot in the rice field; conducting regression of the severity of the rice bacterial blight using a convolutional neural network based on the mean canopy spectral reflectance and the severity of the rice bacterial blight, and outputting a depth spectrum feature; training a disease severity regression model with the accumulated temperature data, the depth spectrum feature, and the resistance to the bacterial blight for each plot as an input and the corresponding severity as an output; and monitoring a severity of the rice bacterial blight in a to-be-monitored rice field using the disease severity regression model.