A Review on Dynamic Features Extraction System for Pest Detection

Authors

  • 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

Keywords:

Image Processing; Feature extraction, Gaussianfiltering

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2019-04-30

Issue

Volume 6, Issue 2, March-April-2019

Section

Research Articles

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How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 2, pp.429-435, March-April-2019.