张鸣华, 丁鑫, 刘持标. 基于二值化图像识别的新型农业害虫诱杀监测系统研究[J]. 南昌航空大学学报(自然科学版), 2019, 33(1): 74-79. DOI: 10.3969/j.issn.1001-4926.2019.01.012
引用本文: 张鸣华, 丁鑫, 刘持标. 基于二值化图像识别的新型农业害虫诱杀监测系统研究[J]. 南昌航空大学学报(自然科学版), 2019, 33(1): 74-79. DOI: 10.3969/j.issn.1001-4926.2019.01.012
Ming-hua ZHANG, Xin DING, Chi-biao LIU. Research on New Agricultural Pest Trapping and Killing Monitoring System Based on Binarized Image Recognition[J]. Journal of nanchang hangkong university(Natural science edition), 2019, 33(1): 74-79. DOI: 10.3969/j.issn.1001-4926.2019.01.012
Citation: Ming-hua ZHANG, Xin DING, Chi-biao LIU. Research on New Agricultural Pest Trapping and Killing Monitoring System Based on Binarized Image Recognition[J]. Journal of nanchang hangkong university(Natural science edition), 2019, 33(1): 74-79. DOI: 10.3969/j.issn.1001-4926.2019.01.012

基于二值化图像识别的新型农业害虫诱杀监测系统研究

Research on New Agricultural Pest Trapping and Killing Monitoring System Based on Binarized Image Recognition

  • 摘要: 针对传统虫情探测所造成的人力及物力浪费的问题,研发了新型农业害虫诱杀探测设备及监测系统。设备可对所拍照片进行图像识别来计算被诱杀害虫的数量,用户使用智能手机可通过云服务中心实时查看虫情及环境数据,且能远程控制设备的摄像头及诱杀灯。本研究提供了一种基于农业害虫诱杀探测设备的新型农业害虫数量统计方法。

     

    Abstract: Aiming at the waste of manpower and material resources caused by traditional pest detection, a novel detection equipment and Monitoring system for trapping and killing agricultural pests were developed. The device can recognize the images taken to calculate the number of trapped and killed pests. Users can use smartphones to view pest infestation and environmental data in real-time through cloud service centers, and can remotely control the equipment's camera and trap lights. This paper provides a new statistical method of agricultural pests calculation based on the detection equipment of agricultural pests trapping and killing.

     

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