基于呼伦贝尔大河湾地区的智能病虫害识别决策系统

在呼伦贝尔大河湾地区大面积规模化的农作物种植形势下,基于传统人工经验或单一传感器进行病虫害采集、识别的方法会导致采集效率低、识别范围局限等问题。针对上述问题,对总体系统提出了一系列的改进。首先,在数据采集阶段,提出了一套完整的“天-空-地-人”一体化病虫害数据采集体系。另外,在数据识别阶段,根据作物不同器官对应的病虫害类型不同,提出了一种智能作物病虫害精细化识别体系。最后,在数据决策、执行阶段,将大河湾地区的农机作业装备进行智能OODA(观察-判断-决策-执行)联动,及时针对异常地块做出响应。实验证明,提出的智能病虫害识别决策系统在实际应用中能够高效率作业,为智慧农业领域的发展奠定了优良的基础。

Intelligent pest identification and decision-making system based on Hulun Buir Dahewan

In the situation of large-scale crop cultivation in Hulun Buir Dahewan, the traditional method of pest and disease collection and identification based on manual experience or a single sensor will lead to low collection efficiency and limited identification range. To solve the above problems, a series of improvements are proposed for the overall system. Firstly, a complete "sky-air-ground-human" integrated pest and disease data collection system was proposed in the data collection stage. In addition, in the data identification stage, an intelligent crop pest and disease identification system was proposed according to the different types of pests and diseases corresponding to varying organs of crops. Finally, in the data decision and execution stage, the intelligent OODA (Observation-Orientation-Decision-Action) linkage of agricultural equipment in the Dahewan was used to respond to abnormal plots in a timely manner. The experiment proves that the proposed intelligent pest identification and decision system can operate efficiently in practical applications, and lays an excellent foundation for developing intelligent agriculture.