基于呼伦贝尔大河湾地区的智能病虫害识别决策系统

Intelligent Pest and Disease Identification and Decision-making System Based on Dahewan Area of Hulun Buir

在呼伦贝尔市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;其次,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。试验证明,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。

In situation of large-scale crop cultivation in Dahewan Area of Hulun Buir,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 above problems,a series of improvements were proposed for overall system.Firstly,a complete"sky-air-ground-human"integ-rated pest and disease data collection system was proposed in data collection stage.In addition,in data identification stage,an intelli-gent crop pest and disease identification system was proposed according to different types of pests and diseases corresponding to varying organs of crops.Finally,in data decision and execution stage,intelligent OODA(observation-orientation-decision-action)linkage of agricultural equipment in the Dahewan was used to respond to abnormal plots in a timely manner.Experiment proved that the proposed intelligent pest and disease identification and decision-making system could operate efficiently in practical applications,and lay an excel-lent foundation for developing intelligent agriculture.