病虫害智能识别喷药装置设计——基于PC图像处理和近红外光谱分析

发布时间：2019-04-02 05:56

【摘要】：在自动化喷施农药过程中,为了准确识别病虫害作物、节约农药和降低农业对环境的污染,以及提高药物的去虫效率,提出了一种基于PC图像处理和近红外光谱分析的作物病虫害智能识别喷药装置。该装置分为3个模块,包括近红外病虫害识别模块、喷药自动化调节模块和车载设备,其控制模块为安装在车上的PC机,利用近红外识别装置可以判断作物是否被病虫害污染,并且识别作物污染的等级,采用喷药自动化调节模块可以实现农药的定量调节,利用车载设备实现了全自动化喷药。对装置的性能进行了测试,结果表明:采用近红外识别装置和主成分分析法可有效地识别病虫害污染的作物,识别准确率较高;喷药自动化装置可根据病虫害的等级进行变量化喷药,减少了农药使用量,得到了较高的去虫率,从而验证了装置的可行性和可靠性。
[Abstract]:In the process of automatic spraying of pesticides, in order to accurately identify pest and pest crops, save pesticides and reduce agricultural pollution to the environment, as well as to improve the efficiency of drug insecticidal, An intelligent spraying device for crop pest identification based on PC image processing and near infrared spectroscopy was proposed. The device is divided into three modules, including near infrared pest identification module, spraying automatic adjustment module and vehicle equipment. The control module is a PC installed on the vehicle. The near infrared recognition device can be used to judge whether crops are polluted by diseases and insect pests. The automatic spraying module can realize the quantitative adjustment of pesticide, and the automatic spraying device can be used to realize the automatic spraying of pesticide. The performance of the equipment is tested. The results show that the near infrared recognition device and principal component analysis can effectively identify crops contaminated by diseases and insect pests, and the recognition accuracy is high. The automatic spraying device can carry out variable spraying according to the class of diseases and insect pests, reduce the use of pesticides, and obtain a higher deworming rate, so as to verify the feasibility and reliability of the device.
【作者单位】：重庆工程职业技术学院;
【基金】：重庆市教育委员会重点项目(1202086)
【分类号】：TP391.41;S49

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