agricultural pest造句

• 6 . to recognize and classify agricultural pest
  6 .农田害虫的识别与分炎。
• Agricultural pest expert system based on vb . net
  的农业害虫专家系统软件开发
• Observation results of parasitic natural enemy of agricultural pest in longdong of gansu province
  甘肃陇东农业害虫寄生性天敌观察结果
• Development of the computer - aided species identification and information service system for agricultural pests management
  农业害虫辅助鉴定与防治咨询系统的研制
• Based on mentioned above principles , the paper finished the following contents against agricultural pests . 1
  基于上述原理，针对农田害虫这一研究对象，进行了以下工作： 1
• There are three departments in ipp , namely department of plant diseases , department of agricultural pests , as well as department of agro - chemicals
  全所共设三个系，即植物病害系、农业害虫系和农药系。
• We designed and made the attraction device to attract agricultural pests , obtained agricultural pests " images with the color camera , processed images based on wavelet analysis . on the basis of these , we emphasized on extracting effective features , put forward recognizing pests " classes with pests " colors and texture features , and succeeded in extracting five efficient features such as color features , wave image edge moments features and so on . then we selected features , inputted into neural network classifier , recognized pattern , presented detection results
  本文设计制作了诱捕装置，诱集农田害虫，使用摄像头摄取害虫图像，采用小波分析进行图像处理，在此基础上重点进行了特征提取工作，提出了利用害虫颜色和纹理等特征进行种类识别的观点，并成功提取了彩色特征、小波图像边缘矩特征等五类有效特征，并经特征选择后输入神经网络分类器进行模式识别，最后给出检测结果。
• We implemented mentioned above functions with visual c + + 6 . 0 language , developed software package , associated with designed hardware system , tested 8 kinds of common agricultural pest , for example , eterusia aedea linneus , parasa consocia , marumba aperchius , asparagus caterpillar , maize borer , cotton bollworm , army worm , and so on . rate of recognition is up to 85 . 7 % . when it c
  用visualc什6 . 0语言实现了上述各环节的功能，开发了识别系统软件包，与研制的硬件装置相配合，分别对茶斑蛾、褐边绿刺蛾、栗六点天蛾、甜菜夜蛾、玉米螟、棉铃虫、粘虫等8种常见的农田害虫进行测试，识别率达到了85 . 7 % 。