【摘要】 病虫害综合治理(IPM)可降低温室中化学物质的使用量,而基于人工判断的IPM容易产生错误,提出一个基于图像处理算法与人工神经网络检测与监控温室中粉虱与蓟马的方法。首先,通过图像采集系统获得粘虫板的数字图像;然后,对于每个检测目标使用图像的目标检测、分割与形态学分析等方法进行处理;最终,通过前向多层神经网络算法将目标分类处理。该系统的粉虱识别精度高达0.96,蓟马的识别精度为0.92。更多还原

【Abstract】 IPM(Integrated Pest Management) can reduce the usage amount of harmful chemicals of the greenhouse,but the current method dependent on manual decision-making the performs much errors,A whitefly and thrips detecting and monitoring method based on the image process and artificial neural network is proposed.Firstly,the digital images of sticky traps are collected by image acquiring system;then,the target detection,segmentation and morphometric analysis are used to process each pest target;lastly,forward multilayer neural network algorithm is adopted to classify the targets.The proposed system realizes a recognition accuracy of 0.96 for whitefly,and a recognition accuracy of 0.95 for thrips.更多还原