Manuscript Number : IJSRST196279

A Review on Dynamic Features Extraction System for Pest Detection

Authors(2) :-Sandip Jiyalal Chaudhari, Prof. Pragati Patil

In agriculture pests can destroy the production on land so need to remove pests from soil for better agriculture production. Supervision of farmland pests is a vital to spray agriculture in a timely and appropriate manner, which gives guarantee of good production in agriculture. Here we discussed some methods that are required for gaining dynamic characteristics of pests by utilizing machine vision. Generally these characteristics are collected from farmland. First step is pests and the background images are divided by using color feature and thresholding methods. Second step is applied Gaussian filtering to obtain the shape features and the number of pests. Lastly frame-to-frame differencing method is used to obtain the quantity of pest motion. The experimental results shows that the 99%.accuracy rate. It can provide quantitative information of pest activity for plant protection personnel. Proposed system can also be used in large-scale crop pest supervision.

Authors and Affiliations

Sandip Jiyalal Chaudhari
M.Tech Scholar, Department of Computer Science and Engineering Abha Gaikwad-Patil College of Engineering Nagpur, Maharashtra, India.
Prof. Pragati Patil
Department of Computer Science and Engineering Abha Gaikwad-Patil College of Engineering and Technology Nagpur, Maharashtra, India

Image Processing; Feature extraction, Gaussianfiltering

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Publication Details

Published in : Volume 6 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 429-435
Manuscript Number : IJSRST196279
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Sandip Jiyalal Chaudhari, Prof. Pragati Patil, " A Review on Dynamic Features Extraction System for Pest Detection", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 6, Issue 2, pp.429-435, March-April-2019.
Journal URL : https://ijsrst.com/IJSRST196279
Citation Detection and Elimination     |      | |
  • XianYi, J. ZhiGang and Y. Xiong, "Design of tropical crops pests monitoring system based on wireless sensor network," 2012 2ndInternational Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, 2012, pp. 2530-2532.
  • Y. Iwatani, K. Tsurui and A. Honma, "Position and direction estimation of wolf spiders, Pardosaastrigera, from video images," 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, 2016, pp. 1966-1971.
  • R. Bhagwat and Y. Dandawate, "Indian plant species identification under varying illumination and viewpoint conditions," 2016 Conference on Advances in Signal Processing (CASP), Pune, 2016, pp. 469-473.
  • Saeed Azfar, Adnan Nadeem, Abdul Basit ,”Pest detection and control techniques using wireless sensor network: A review”Journal of Entomology and Zoology Studies 2015; 3 (2): 92-99.
  • A. K. Tripathy1, J. Adinarayana1, D. Sudharsan1, S. N. Merchant “Data Mining and Wireless Sensor Network for Agriculture Pest/Disease Predictions” CSRE, Indian Institute of Technology Bombay, Mumbai, India.
  • Yun Shi, Zhen Wang, Xianfeng Wang, Shanwen Zhang” Internet of Things Application to Monitoring Plant Disease and Insect Pests” XiJing University, Xi’an Shanxi 710123, China.
  • X. Wang, J. Liu, J. Geng, X. Zhang and D. Yang, "Exploiting Multi-Antenna Diversity in Overlaid Wireless Network: Transmission Capacity Analysis," 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), Las Vegas, NV, 2013, pp. 1-5.
  • G. Bingkun, S. Chuanjun and S. Zhaoyun, "Application of Scalable Video Coding in Broadband Wireless Network Transmission," 2010 International Conference on Electrical and Control Engineering, Wuhan, 2010, pp. 4649-4652.
  • X. Guan, T. Qin, W. Li and P. Wang, "Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring," in IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, pp. 905-919, Dec. 2010.
  • J. M. Ramirez-Scarpetta, S. Ospina, M. L. Orozco-Gutierrez and D.Martinez-Torres, "Remote automatic control of energy deviation," 2011 IEEE pes conference on innovative smart grid technologies latinamerica (isgt la), Medellin, 2011, pp. 1-6.
  • M. Kalúz, J. García-Zubía, M. Fikar and irka, "A Flexible and Configurable Architecture for Automatic Control Remote Laboratories," in IEEE Transactions on Learning Technologies, vol. 8, no. 3, pp. 299-310, July-Sept. 1 2015.
  • S. Rathmayer and M. Lenke, "A tool for on-line visualization and interactive steering of parallel HPC applications," Proceedings 11th International Parallel Processing Symposium, Genva, 1997, pp. 181-186.
  • X. Yuan et al., "ReCBuLC: Reproducing Concurrency Bugs UsingLocal Clocks," 2015 IEEE/ACM 37th IEEE InternationalConference on Software Engineering, Florence, 2015, pp. 824-834.
  • Liming Chen and Bin Xie, "A new signal denoising method based on wavelet threshold algorithm," 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, 2016, pp. 1961-1964.
  • GuYuhai, Ma Chao, Han Qiushi and XuXiaoli, "Research on threshold denoising method for correlation coefficient spectrum of vibration signal," 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), Qingdao, 2015, pp. 359-363.
  • Y. Shibata and M. Hashimoto, "An extended method of the parametric eigenspace method by automatic background elimination," The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, Incheon, 2013, pp. 246-249.
  • V. Ramachandran and K. Vani, "Extracting linear features from SAR images using CGVF Snake model and Beamlet transform," 2013 International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, 2013, pp. 229-236.
  • Johnny L. Miranda, Bobby D. Gerardo, and Bartolome T. Tanguilig III “Pest Detection and Extraction Using Image ProcessingTechniques” International Journal of Computer and Communication Engineering, Vol. 3, No. 3, May 2014
    • " target="_blank"> BibTeX     |
  • XianYi, J. ZhiGang and Y. Xiong, "Design of tropical crops pests monitoring system based on wireless sensor network," 2012 2ndInternational Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, 2012, pp. 2530-2532.
  • Y. Iwatani, K. Tsurui and A. Honma, "Position and direction estimation of wolf spiders, Pardosaastrigera, from video images," 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, 2016, pp. 1966-1971.
  • R. Bhagwat and Y. Dandawate, "Indian plant species identification under varying illumination and viewpoint conditions," 2016 Conference on Advances in Signal Processing (CASP), Pune, 2016, pp. 469-473.
  • Saeed Azfar, Adnan Nadeem, Abdul Basit ,”Pest detection and control techniques using wireless sensor network: A review”Journal of Entomology and Zoology Studies 2015; 3 (2): 92-99.
  • A. K. Tripathy1, J. Adinarayana1, D. Sudharsan1, S. N. Merchant “Data Mining and Wireless Sensor Network for Agriculture Pest/Disease Predictions” CSRE, Indian Institute of Technology Bombay, Mumbai, India.
  • Yun Shi, Zhen Wang, Xianfeng Wang, Shanwen Zhang” Internet of Things Application to Monitoring Plant Disease and Insect Pests” XiJing University, Xi’an Shanxi 710123, China.
  • X. Wang, J. Liu, J. Geng, X. Zhang and D. Yang, "Exploiting Multi-Antenna Diversity in Overlaid Wireless Network: Transmission Capacity Analysis," 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), Las Vegas, NV, 2013, pp. 1-5.
  • G. Bingkun, S. Chuanjun and S. Zhaoyun, "Application of Scalable Video Coding in Broadband Wireless Network Transmission," 2010 International Conference on Electrical and Control Engineering, Wuhan, 2010, pp. 4649-4652.
  • X. Guan, T. Qin, W. Li and P. Wang, "Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring," in IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, pp. 905-919, Dec. 2010.
  • J. M. Ramirez-Scarpetta, S. Ospina, M. L. Orozco-Gutierrez and D.Martinez-Torres, "Remote automatic control of energy deviation," 2011 IEEE pes conference on innovative smart grid technologies latinamerica (isgt la), Medellin, 2011, pp. 1-6.
  • M. Kalúz, J. García-Zubía, M. Fikar and irka, "A Flexible and Configurable Architecture for Automatic Control Remote Laboratories," in IEEE Transactions on Learning Technologies, vol. 8, no. 3, pp. 299-310, July-Sept. 1 2015.
  • S. Rathmayer and M. Lenke, "A tool for on-line visualization and interactive steering of parallel HPC applications," Proceedings 11th International Parallel Processing Symposium, Genva, 1997, pp. 181-186.
  • X. Yuan et al., "ReCBuLC: Reproducing Concurrency Bugs UsingLocal Clocks," 2015 IEEE/ACM 37th IEEE InternationalConference on Software Engineering, Florence, 2015, pp. 824-834.
  • Liming Chen and Bin Xie, "A new signal denoising method based on wavelet threshold algorithm," 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, 2016, pp. 1961-1964.
  • GuYuhai, Ma Chao, Han Qiushi and XuXiaoli, "Research on threshold denoising method for correlation coefficient spectrum of vibration signal," 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), Qingdao, 2015, pp. 359-363.
  • Y. Shibata and M. Hashimoto, "An extended method of the parametric eigenspace method by automatic background elimination," The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, Incheon, 2013, pp. 246-249.
  • V. Ramachandran and K. Vani, "Extracting linear features from SAR images using CGVF Snake model and Beamlet transform," 2013 International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, 2013, pp. 229-236.
  • Johnny L. Miranda, Bobby D. Gerardo, and Bartolome T. Tanguilig III “Pest Detection and Extraction Using Image ProcessingTechniques” International Journal of Computer and Communication Engineering, Vol. 3, No. 3, May 2014
    • " target="_blank">RIS     |
  • XianYi, J. ZhiGang and Y. Xiong, "Design of tropical crops pests monitoring system based on wireless sensor network," 2012 2ndInternational Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, 2012, pp. 2530-2532.
  • Y. Iwatani, K. Tsurui and A. Honma, "Position and direction estimation of wolf spiders, Pardosaastrigera, from video images," 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), Qingdao, 2016, pp. 1966-1971.
  • R. Bhagwat and Y. Dandawate, "Indian plant species identification under varying illumination and viewpoint conditions," 2016 Conference on Advances in Signal Processing (CASP), Pune, 2016, pp. 469-473.
  • Saeed Azfar, Adnan Nadeem, Abdul Basit ,”Pest detection and control techniques using wireless sensor network: A review”Journal of Entomology and Zoology Studies 2015; 3 (2): 92-99.
  • A. K. Tripathy1, J. Adinarayana1, D. Sudharsan1, S. N. Merchant “Data Mining and Wireless Sensor Network for Agriculture Pest/Disease Predictions” CSRE, Indian Institute of Technology Bombay, Mumbai, India.
  • Yun Shi, Zhen Wang, Xianfeng Wang, Shanwen Zhang” Internet of Things Application to Monitoring Plant Disease and Insect Pests” XiJing University, Xi’an Shanxi 710123, China.
  • X. Wang, J. Liu, J. Geng, X. Zhang and D. Yang, "Exploiting Multi-Antenna Diversity in Overlaid Wireless Network: Transmission Capacity Analysis," 2013 IEEE 78th Vehicular Technology Conference (VTC Fall), Las Vegas, NV, 2013, pp. 1-5.
  • G. Bingkun, S. Chuanjun and S. Zhaoyun, "Application of Scalable Video Coding in Broadband Wireless Network Transmission," 2010 International Conference on Electrical and Control Engineering, Wuhan, 2010, pp. 4649-4652.
  • X. Guan, T. Qin, W. Li and P. Wang, "Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring," in IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, pp. 905-919, Dec. 2010.
  • J. M. Ramirez-Scarpetta, S. Ospina, M. L. Orozco-Gutierrez and D.Martinez-Torres, "Remote automatic control of energy deviation," 2011 IEEE pes conference on innovative smart grid technologies latinamerica (isgt la), Medellin, 2011, pp. 1-6.
  • M. Kalúz, J. García-Zubía, M. Fikar and irka, "A Flexible and Configurable Architecture for Automatic Control Remote Laboratories," in IEEE Transactions on Learning Technologies, vol. 8, no. 3, pp. 299-310, July-Sept. 1 2015.
  • S. Rathmayer and M. Lenke, "A tool for on-line visualization and interactive steering of parallel HPC applications," Proceedings 11th International Parallel Processing Symposium, Genva, 1997, pp. 181-186.
  • X. Yuan et al., "ReCBuLC: Reproducing Concurrency Bugs UsingLocal Clocks," 2015 IEEE/ACM 37th IEEE InternationalConference on Software Engineering, Florence, 2015, pp. 824-834.
  • Liming Chen and Bin Xie, "A new signal denoising method based on wavelet threshold algorithm," 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, 2016, pp. 1961-1964.
  • GuYuhai, Ma Chao, Han Qiushi and XuXiaoli, "Research on threshold denoising method for correlation coefficient spectrum of vibration signal," 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), Qingdao, 2015, pp. 359-363.
  • Y. Shibata and M. Hashimoto, "An extended method of the parametric eigenspace method by automatic background elimination," The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, Incheon, 2013, pp. 246-249.
  • V. Ramachandran and K. Vani, "Extracting linear features from SAR images using CGVF Snake model and Beamlet transform," 2013 International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, 2013, pp. 229-236.
  • Johnny L. Miranda, Bobby D. Gerardo, and Bartolome T. Tanguilig III “Pest Detection and Extraction Using Image ProcessingTechniques” International Journal of Computer and Communication Engineering, Vol. 3, No. 3, May 2014
    • " target="_blank">CSV

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