A Unmanned Aerial Vehicle-Based Image Information Acquisition Technique for the Middle and Lower Sections of Rice Plants and a Predictive Algorithm Model for Pest and Disease Detection

A Unmanned Aerial Vehicle-Based Image Information Acquisition Technique for the Middle and Lower Sections of Rice Plants and a Predictive Algorithm Model for Pest and Disease Detection

Aiming at the technical bottleneck of monitoring rice stalk, pest, and grass damage in the middle and lower parts of rice, this paper proposes a UAV-based image information acquisition method and disease prediction algorithm model, which provides an efficient and low-cost solution for the accurate e...

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Bibliographic Details
Main Authors: Xiaoyan Guo, Yuanzhen Ou, Konghong Deng, Xiaolong Fan, Ruitao Gao, Zhiyan Zhou
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Agriculture
Subjects:
UAV image acquisition
monitoring of middle and lower parts
detection of rice disease
YOLOv8
path planning
data fusion
Online Access:https://www.mdpi.com/2077-0472/15/7/790
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