摘要
为了实现储粮害虫图鉴信息的便捷获取和害虫图像的自动识别,研发了一款储粮害虫智能图鉴及图像识别APP软件。该APP软件基于Android系统开发,采用Solr全文搜索引擎和深度学习图像识别技术,实现了146种常见储粮害虫信息的电子化展示和智能检索,以及6类10种常见储粮害虫的在线识别。此APP软件可以成为储粮保管人员的学习助手。
An mobile App based on Android system was developed to realize convenient acquisition of stored grain insect information and automatic recognition of stored grain insects on the mobile phone. By using Solr full-text search engine, the 146 common stored grain insect's information can be clearly showed and easily retrieved. And deep learning image recognition technology was used to implement online recognition of 10 kinds of stored grain insects in 6 categories. This App could be a useful assistant for grain storage personnel to store grain.
引文
1 何平,胡勇.一种基于本地代码特征的Android恶意代码检测方法[J].信息安全研究,2018,4(6):511～517
2 张彤,刘志,庄新卿.基于开发者平台和深度学习的智能识花与护花系统[J].工业控制计算机,2018,31(1):90-92.DOI:10.3969/j.issn.1001-182X.2018.01.038
3 王伟,王秀兰,冯仲科,等.基于Android手机的树木叶片识别系统[J].广东农业科学,2014,41(18):164-167.DOI:10.3969/j.issn.1004-874X.2014.18.039
4 张蓝月,邵小龙,黄行健,等.储粮害虫检测技术研究进展[J].食品安全质量检测学报,2014,(8):2366～2371
5 路静,傅洪亮.储粮害虫检测和分类识别技术的研究[J].粮食储藏,2014,(1):6-9.DOI:10.3969/j.issn.1000-6958.2014.01.002
6 马彬,金志明,蒋旭初,等.储粮害虫在线监测技术的研究进展[J].粮食储藏,2018,(2):27～31
7 邱道尹,张红涛,陈铁军,等.基于机器视觉的储粮害虫智能检测系统软件设计[J].农业机械学报,2003,(2):83-85.DOI:10.3969/j.issn.1000-1298.2003.02.025
8 Defa Wang.Research on Image Acquisition and Recognition for Stored Grain Pests[A].Science and Engineering Research Center.Proceedings of 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE2016)[C].Science and Engineering Research Center:Science and Engineering Research Center,2016:5
9 Yufeng Shen,Huiling Zhou,Jiangtao Li,Fuji Jian,Digvir S.Jayas.Detection of stored-grain insects using deep learning[J].Computers and Electronics in Agriculture,2018,145
10 郑燕娥,郑志明.基于Heritrix与Solr的就业主题搜索引擎的研究与优化[J].齐齐哈尔大学学报(自然科学版),2018,(4):13～20
11 邱道尹,张红涛,陈铁军,et al.基于机器视觉的储粮害虫智能检测系统软件设计[J].农业机械学报,2003,34(2):83～85
12 吴一全,王凯,陶飞翔.基于扩展Shearlet变换、Krawtchouk矩和SVM的储粮害虫分类[J].中国粮油学报,2015,30(11):103～109
13 Krizhevsky A ,Sutskever I ,Hinton G E .ImageNet Classification with Deep Convolutional Neural Networks[C]// International Conference on Neural Information Processing Systems.Curran Associates Inc.2012
14 Deng J ,Dong W ,Socher R ,et al.ImageNet:A large-scale hierarchical image database[C]// IEEE Conference on Computer Vision & Pattern Recognition.IEEE,2009
15 Karen Simonyan,A.Zisserman.Very deep convolutional networks for large-scale image recognition[J].arXiv preprint,arXiv:1409-1556
16 Xavier Glorot,Y.Bengio.Understanding the difficulty of training deep feedforward neural networks[C].International Conference on Artificial Intelligence and Statistics.Society for Artificial Intelligence and Statistics.2010(9):249～256
