桔小实蝇等六种常见果园害虫图像数据集
收稿日期: 2021-12-20
网络出版日期: 2022-06-29
基金资助
中国农业科学院创新工程:数据整合与应用服务研究(2020CX017)
Image Data Set of Six Common Orchard Pests such as Bactrocera Dorsalis
Received date: 2021-12-20
Online published: 2022-06-29
张翔鹤, 王晓丽, 刘婷婷, 胡林, 樊景超 . 桔小实蝇等六种常见果园害虫图像数据集[J]. 农业大数据学报, 2022 , 4(1) : 114 -118 . DOI: 10.19788/j.issn.2096-6369.220117
It is essential to use machine vision method for pest identification in orchard pest control and management. At present, most of the orchard pest image data collection centre on a single type and the resolution is inconsistent. In addition, only the original image data of pests are collected, and few data sets contain both the original image and the salient image of machine recognition. This data set includes 2412 image data of six common pests, such as bactrocera dorsalis, chafer, grapholitha molesta, leaf hopper, long icorn and bactrocera minax. Among them, 1613 original images were unprocessed. For images processed by deconvolution method, a total of 799 images with significant features were retained after eliminating the images with insignificant features. In conclusion, the data set can provide a data basis for the identification and classification of orchard pests.
Key words: orchard; pests identification; image data; machine recognition
| 1 | 高九思,张安全,李泽义.苹果园天敌种类及其对果园主要害虫的控制效果[J].现代农业科技,2006(04):44-46. |
| 1 | Gao J S, Zhang A Q, Li Z Y. Species of natural enemies in apple orchards and their control effect on main pests in apple orchards[J]. Modern Agricultural Science and Technology, 2006(04): 44-46. |
| 2 | 乔岩,岳瑾,王品舒,等.北京地区果园害虫绿色防控关键技术集成示范与推广[J].中国植保导刊,2017,37(05):89-91. |
| 2 | Qiao Y, Yue J, Wang P S,et al.Integrated demonstration and promotion of key technologies for green pest control in orchards in Beijing[J]. China Plant Protection, 2017, 37(05): 89-91. |
| 3 | 孙益知.果园害虫胡蜂的发生与防治[J].西北园艺(果树),2006(02):27. |
| 3 | Sun Y Z. Occurrence and control of the pest wasp in orchard[J]. Northwest Horticulture, 2006(02): 27. |
| 4 | 李文勇. 基于机器视觉的果园性诱害虫在线识别与计数方法研究[D].北京:中国农业大学,2015. |
| 4 | Li W Y. Research on Online Identification and Counting Method of Orchard Sexually Lured Pests Based on Machine Vision[D]. Beijing: China Agricultural University, 2015. |
| 5 | 程鲁玉,孟小艳,达新民.关于果林中果害虫图像特征高效分类识别仿真[J].计算机仿真,2018,35(02):425-428. |
| 5 | Cheng L Y, Meng X Y, Da X M. Efficient classification and recognition simulation of fruit pest in fruit forest[J]. Computer Simulation, 2018, 35(02): 425-428. |
| 6 | 田冉,陈梅香,董大明,等.红外传感器与机器视觉融合的果树害虫识别及计数方法[J].农业工程学报,2016,32(20):195-201. |
| 6 | Tian R, Chen M X, Dong D M,et al. Identification and counting method of fruit tree pests by fusion of infrared sensor and machine vision[J].Transactions of the Chinese Society of Agricultural Engineering, 2016,32(20): 195-201. |
| 7 | 山东农业大学. 2016-2020年北京苹果园病虫害发生数据库. CSTR: 17058.11.E0005.20210706.30.ds.0444. |
| 7 | Shandong Agricultural University. Database of Diseases and insect pests in Beijing Apple orchards from 2016 to 2020. CSTR: 17058.11.E0005.20210706.30.ds.0444. |
| 8 | 樊景超.基于MobileNets的果园害虫分类识别模型研究[J].天津农业科学,2018,24(09):11-13+26. |
| 8 | Fan J C.Research on Orchard Pest Classification and Identification Model Based on MobileNets[J]. Tianjin Agricultural Sciences, 2018, 24(09): 11-13+26. |
| 9 | 张红涛,毛罕平,邱道尹.储粮害虫图像识别中的特征提取[J].农业工程学报,2009,25(02):126-130. |
| 9 | Zhang H T, Mao H P, Qiu D Y. Feature extraction in image recognition of stored grain pests[J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(02): 126-130. |
| 10 | 杨国国,鲍一丹,刘子毅.基于图像显著性分析与卷积神经网络的茶园害虫定位与识别[J].农业工程学报,2017,33(06):156-162. |
| 10 | Yang G G, Bao Y D, Liu Z Y. Location and recognition of tea garden pests based on image saliency analysis and convolutional neural network[J]. Transactions of the Chinese Society of Agricultural Engineering,2017, 33(06): 156-162. |
| 11 | 马梦园. 基于深度学习的鳞翅目昆虫图像处理研究[D].杭州:浙江工商大学,2018. |
| 11 | Ma M Y. Image processing of lepidopteran insects based on deep learning[D]. Hangzhou: Zhejiang Gongshang University, 2018. |
| 12 | 朱芸芸. 基于卷积神经网络的图像分类方法研究[D].北京:北京交通大学,2016. |
| 12 | Zhu Y Y. Research on Image Classification Method Based on Convolutional Neural Network[D]. Beijing: Beijing Jiaotong University, 2016. |
| 13 | 姚侃,徐鹏,张广群,等.基于图像的昆虫分类识别研究综述[J].智能计算机与应用,2019,9(03):29-35. |
| 13 | Yao K, Xu P, Zhang G Q,et al. An overview of research on insect classification and recognition based on image[J]. Intelligent Computer and Application, 2019, 9(03): 29-35. |
| 14 | 冼鼎翔,姚青,杨保军,等.基于图像的水稻灯诱害虫自动识别技术的研究[J].中国水稻科学,2015,29(03):299-304. |
| 14 | Xian D X, Yao Q, Yang B J,et al. Research on automatic recognition technology of rice lamp lure pests based on image[J]. Chinese Journal of Rice Science, 2015, 29(03): 299-304. |
| 15 | 秦放. 基于深度学习的昆虫图像识别研究[D].成都:西南交通大学,2018. |
| 15 | Qin F. Research on insect image recognition based on deep learning[D]. Chengdu: Southwest Jiaotong University, 2018. |
| 16 | 罗桂兰,王熙,郝鸿俊,等.一种微型昆虫图像智能识别方法[J].大理大学学报,2020,5(06):7-13. |
| 16 | Luo G L, Wang X, Hao H J,et al. An intelligent image recognition method for miniature insects is presented[J]. Journal of Dali University, 2020, 5(06): 7-13. |
| 17 | 张维彬,李华.果园害虫的生态防控技术[J].现代农业科技,2008(11):155. |
| 17 | Zhang W B, Li H. Ecological control technology of orchard pests[J]. Modern Agricultural Science and Technology, 2008(11): 155. |
| 18 | 李文勇,陈梅香,李明,等.基于姿态描述的果园靶标害虫自动识别方法[J].农业机械学报,2014,45(11):54-59. |
| 18 | Li W Y, Chen M X, Li M,et al.A method for automatic identification of orchard target pests based on attitude description[J]. Transactions of The Chinese Society of Agricultural Machinery, 2014, 45(11): 54-59. |
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