论文部分内容阅读
日前,笔者从中国气象科学研究院获悉,在公益性行业(气象)科研专项经费项目“农作物病虫害发生气象条件监测、预警和评价技术”支持下,小麦白粉病病菌孢子自动识别智能系统成功研发。这对提高我国病虫害监测预报预警技术水平,制定和及时采取防治措施具有重要意义。据该院研究员霍治国介绍,为有效实现田间白粉病病菌孢子数量实时监测与预警预报应用,必须解决从捕捉的所有孢子中有效识别白粉病孢子并对其进行自动计数及提高孢子图片清晰度等多项关键技术问题。该系统通过建立专家识别库,研发自动识别与自动计数模型,对原有病菌孢子捕捉仪
Recently, the author learned from the China Academy of Meteorological Sciences that in the non-profit industry (meteorological) special funds for scientific research projects, “crop pests and diseases meteorological conditions monitoring, early warning and evaluation technology” support, wheat powdery mildew pathogen spores automatic identification system success R & D. This is of great significance to improving the technical level of early warning of pests and diseases monitoring, formulation and timely prevention and control measures. According to the researcher at the hospital, Huo Zhiguo introduced that in order to effectively realize the real-time monitoring and early warning and forecast application of powdery mildew in the field, it is necessary to effectively identify the spores of powdery mildew from all captured spores and automatically count them and improve the spore picture clarity A number of key technical issues. The system through the establishment of expert identification library, research and development of automatic identification and automatic counting model, the original bacteria spore catcher