智慧农业导刊2024，Vol.4Issue(11)：1-5,5.DOI:10.20028/j.zhnydk.2024.11.001
基于自主飞行器的柑橘病害监护系统设计与实践
摘要
Abstract
Aiming at the problems of low efficiency and huge cost in the process of citrus disease monitoring by manual means,a citrus disease monitoring system is designed and practiced based on an autonomous aircraft.The monitoring system is mainly composed of three parts:perception layer,application layer and analysis layer.In order to enable the aircraft to accurately recognize citrus diseases,a citrus disease recognition model dedicated to recognizing citrus diseases was trained using the DenseNet121 and EfficientNetB7 deep learning model framework,and deployed on the Aroma Orange Pi development board located in the autonomous aircraft,thus providing the autonomous aircraft with the ability to recognize citrus diseases.In order to verify the performance of the disease monitoring system,tests were carried out.The experimental results show that the disease monitoring system has good development potential,and the model has good detection accuracy and portability.关键词
智慧农业/深度学习/图像识别/飞行器设计/病害监护系统Key words
smart agriculture/deep learning/image recognition/aircraft design/disease monitoring system分类
信息技术与安全科学引用本文复制引用
余焕杰,江华晋,彭东海..基于自主飞行器的柑橘病害监护系统设计与实践[J].智慧农业导刊,2024,4(11):1-5,5.基金项目
广东省省级大学生创新创业训练计划项目(S202310576020X) （S202310576020X）
韶关市科技局项目(220607154531465) （220607154531465）
