stored grain pests 储粮害虫
stored grain pests activity 储粮害虫活性
Stored grain pests protectant 储粮害虫防护剂
pests stored grain 储粮害虫
Experts recommend on stored-grain pests module design.
3.储粮害虫专家建议模块设计。
参考来源 - 基于图像识别的储粮害虫检测专家系统的研究The feature compression is necessary to reduce feature dimensions and remove the information redundancies among features of the stored-grain pests.
为了降低储粮害虫特征空间的维数,并去除粮虫特征之间的信息冗余,需要对特征选择后的特征进行压缩处理。
参考来源 - 储粮害虫图像识别中的特征压缩研究·2,447,543篇论文数据，部分数据来源于NoteExpress
With full use of computer vision and fuzzy clustering analysis, dynamic clustering analysis for stored-grain pests was achieved.
综合利用计算机视觉技术和模糊聚类分析技术，实现了对粮仓害虫的动态模糊聚类分析。
With the full use of computer vision and neural networks, this paper presents an automatic classification method in the stored-grain pests.
综合利用计算机视觉技术和自组织神经网络技术，实现了对粮仓害虫的无损检测。
The 17-dimension morphologic features of the stored-grain pests are compressed into 10 dimensions effectively and the classification efficiency is improved.
该算法有效地将粮虫的17维原始形态学特征降为10维，提高了分类的效率。
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