A Smart Real-Time Monitoring Method of Vegetable Diseases and Insect Pests Based on Optical Fiber Sensor

预处理器 人工智能 计算机科学 过程(计算) 模式识别(心理学) 计算机视觉 特征提取 操作系统
作者
Yana Tang,Shilong Zhang
出处
期刊:Journal of Testing and Evaluation [ASM International]
卷期号:51 (3): 1277-1294
标识
DOI:10.1520/jte20220052
摘要

Abstract In order to solve the problems of traditional recognition and monitoring methods, such as low recognition accuracy and long monitoring process, in this paper, a real-time monitoring method of vegetable diseases and pests based on optical fiber sensor is proposed. Firstly, according to the optical fiber sensor imaging technology, the crop image to be detected is obtained, and the preprocessing steps such as feature extraction are carried out at the same time to obtain three single classifiers composed of image color characteristics, texture macro description, and detail expression; secondly, the parallel pattern is used to fuse the three classifiers, and then a crop pest recognition method combined with multiple classifiers is proposed according to the K-nearest neighbor method; finally, based on the recognition results, the video monitoring dynamics of pests is constructed. In the construction process, the open design is implemented combined with the optical fiber sensor, and the corresponding pest data table is constructed according to the required data to realize the real-time monitoring of vegetable pests and diseases. The simulation results show that this method can effectively solve the problems faced by traditional methods in the experiment and has higher advantages compared with other methods in the calculation process.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
peng发布了新的文献求助10
刚刚
科研通AI2S应助crc采纳,获得10
刚刚
杨榆藤发布了新的文献求助10
刚刚
流云完成签到,获得积分10
刚刚
酷波er应助科研式采纳,获得10
1秒前
量子星尘发布了新的文献求助10
2秒前
Richard发布了新的文献求助30
2秒前
123发布了新的文献求助10
2秒前
2秒前
2秒前
3秒前
海绵宝宝发布了新的文献求助10
3秒前
3秒前
小蘑菇应助02采纳,获得10
3秒前
哆啦的空间站应助02采纳,获得10
4秒前
哆啦的空间站应助02采纳,获得10
4秒前
哆啦的空间站应助02采纳,获得10
4秒前
哆啦的空间站应助02采纳,获得10
4秒前
木蝴蝶完成签到,获得积分10
4秒前
萌宠发布了新的文献求助10
4秒前
4秒前
慕青应助月半战戈采纳,获得10
6秒前
脑洞疼应助科研你疼疼我采纳,获得10
6秒前
7秒前
7秒前
7秒前
Richard完成签到,获得积分10
8秒前
XCXC完成签到,获得积分10
8秒前
在人中完成签到,获得积分10
9秒前
9秒前
9秒前
冷静安露发布了新的文献求助10
10秒前
10秒前
爆米花应助灼灼朗朗采纳,获得10
10秒前
in完成签到,获得积分10
10秒前
上官若男应助木易采纳,获得10
10秒前
11秒前
小二郎应助GGGG采纳,获得10
11秒前
丘比特应助晨晨采纳,获得10
11秒前
bkagyin应助小鱼丸采纳,获得50
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
International Encyclopedia of Business Management 1000
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4933690
求助须知:如何正确求助?哪些是违规求助? 4201746
关于积分的说明 13054958
捐赠科研通 3975817
什么是DOI,文献DOI怎么找? 2178602
邀请新用户注册赠送积分活动 1194932
关于科研通互助平台的介绍 1106316