摘要
为了应对农作物生长过程中病虫害的影响,本文开发了一个病虫害巡检系统。该系统以STM32F407ZGT6、ARM Cortex-A为采集与控制单元核心,配以自制智能小车,实现农作物环境监测及视频图像采集。针对农作物图像,利用深度学习技术,对其病虫害情况进行快速无损识别。使用MQTT协议实现本地数据上传,并对云端数据转发和存储。设计网页和手机端,方便查看农作物生长环境状态、病虫害识别情况等。该系统运用到农业生产中,能够有效防止病虫害事件扩大,具有准确性高、检测速度快、稳定性强等优点。
A pest inspection system is developed in order to deal with the effects of pests and diseases in the process of crop growth.It uses STM32F407ZGT6 and ARM Cortex-A as the core of the acquisition and control unit.It is equipped with a self-made smart car to implement crop environmental monitoring and video image collection.Deep learning technology is used to quickly and nondestructively identify pests and diseases for crop images.MQTT protocol is used to upload local data,transmit and store cloud data.Web pages and mobile terminals are designed for easy viewing of crop growth environment and identification of pests and diseases.When applied to agricultural production,the system can effectively prevent the expansion of diseases and insect pests.It also has the advantages of high accuracy,fast detection speed and strong stability.
作者
刘天赐
刘钰
韩逸轩
俞苏鹏
LIU Tianci;LIU Yu;HAN Yixuan;YU Supeng(School of Computer Engineering,Jinling Institute of Technology,Nanjing,China,211169)
出处
《福建电脑》
2022年第1期89-92,共4页
Journal of Fujian Computer
基金
江苏省大学生创新训练计划项目课题(No.202113573048Y)
金陵科技学院“大人网云”虚拟实验班项目(No.D2020005)资助
江苏省重点实验室数据科学与智慧软件平台支持。
作者简介
刘天赐,男,2000年生,主要研究领域为嵌入式系统开发、人工智能。E-mail:1030083925@qq.com;通信作者:刘钰,女,1980年生,副教授,主要研究领域为智能嵌入式系统开发、计算机教育。E-mail:1140215556@qq.com;韩逸轩,男,1999年生,主要研究领域为嵌入式系统开发。E-mail:277591399@qq.com;俞苏鹏,男,1999年生,主要研究领域为嵌入式系统开发。E-mail:yusupeng135@qq.com。
