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Fang Lv
Observed names:
Lv Fang,
fang Lv
Institution:
Inner Mongolia University of Technology
Observed institution:
Inner Mongolia University of Technology
ORCID:
0000-0002-6714-4469
Observed ORCID:
0000-0002-6714-4469
OpenAlex ID:
A5103198888
Identification of Sunflower Leaf Diseases Based on Random Forest Algorithm
2019
·
Jun Liu
, Fang Lv
, et al.
·
International Conference on Intelligent Computing, Automation and Systems (ICICAS)
·
23
Intelligent Identification Method of Crop Species Using Improved U-Net Network in UAV Remote Sensing Image
2022
·
Zhixin Liu
, Boning Su
, et al.
·
Scientific Programming
·
16
PDF
Improved detection of yolov4 sunflower leaf diseases
2021
·
Si Chen
, Fang Lv
, et al.
·
International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)
·
13
Identification Method of Sunflower Leaf Disease Based on SIFT Point
2019
·
Jun Liu
, Fang Lv
, et al.
·
Journal of Image and Graphics
·
11
Prediction model of forest fire area based on the improved Extreme Gradient Boosting
2021
·
Chen Ran
, Lv Fang
·
International Conference on Computer Communication and Network Security (CCNS)
·
7
Flame detection method based on improved YOLO-v3
2021
·
Ping Huo
, Fang Lv
, et al.
·
International Conference on Signal Image Processing and Communication (ICSIPC)
·
7
Discussion on Sunflower Leaf Disease Diagnosis Based on Imaging Identification
2014
·
Hui Xu
, Fang Lv
, et al.
·
Applied Mechanics and Materials
·
6
Image extraction and segment arithmetic of License Plate Recognition
2009
·
fang Lv
, Zhang song-yu
, et al.
·
International Conference on Power Electronics and Intelligent Transportation System
·
6
The Research on the Feature Extraction of Sunflower Leaf Rust Characteristics Based on Color and Texture Feature
2015
·
Penghui Di
, Fang Lv
, et al.
·
International Conference on Computational Intelligence and Communication Networks (CICN)
·
5
Tire X-ray Detection Method Based on BP Neural Network
2018
·
Lv Fang
, Li Yanxue
, et al.
·
International Conference on Image and Graphics Processing (ICIGP)
·
4
Design of water quality monitoring system based on NB-IoT technolog
2022
·
YanBing Wang
, Fang Lv
·
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)
·
3
Water quality prediction model based on GRA and CNN-GRU
2022
·
Minghui Lu
, Fang Lv
·
International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA)
·
2
Monitoring the spontaneous combustion of coal stack based on ZigBee and LabView
2019
·
Yu Zheng
, Fang Lv
, et al.
·
Journal of Physics Conference Series
·
1
PDF
ARIMA-GRU water quality prediction method based on wavelet decomposition
2023
·
yanbing wang
, Fang Lv
·
International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT)
Research on Video Image Vehicle Tracking Algorithm Based on Random Forest Method
2018
·
Li Yanxue
, Lv Fang
, et al.
·
Journal of Physics Conference Series
PDF
Gait recognition based on integral outline
2017
·
Guan Ming
, Lv Fang
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
The study of vehicle detection and identification in intelligent transportation system
2011
·
Fang Lv
, Dongmei Han
·
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Design of highly reliable Fingerprint Access Control System based on C8051F020 single chip
2010
·
Chunjiang Liu
, Fang Lv
·
International Conference on Computer and Automation Engineering
Communication Protocol of Monitoring and Dispatching Management System Based on GPS
2010
·
Lv Fang
, Yun Huai-zhong
, et al.
·
Workshop on Knowledge Discovery and Data Mining
A Study on the New Method of Synthesizing Nicotinoyltrifluoroacetones
2008
·
Fang Lv
·
Journal of Inner Mongolia University of Technology
Design of Theft-proof Alarm System in Cars Based on ARM
2008
·
Wang Li-li
, Fang Lv
·
Modern Electronics Technique
Design of Theft-proof Alarm System of Car
2008
·
Fang Lv
·
Mechanical Engineering & Automation
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Works count:
22
Citation count:
104
H-index:
6
I10-index:
4
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