학술논문
Application of Fusion Technique and Support Vector Machine for Identifying Specific Vegetation Type
Document Type
Conference
Author
Source
2019 IEEE 5th International Conference for Convergence in Technology (I2CT) Convergence in Technology (I2CT), 2019 IEEE 5th International Conference for. :1-5 Mar, 2019
Subject
Language
Abstract
Agriculture is the nurturer of almost all living creatures on the earth. Various types of crop are being grown depending on the type of land. The overall yield plays a prime entity of concern. To acquire the knowledge about crops, various investigations had been carried out with the aid of image processing. The sources of farm images are quodcopters, aircrafts, satellite Numerous image classification techniques have proven its ability to bifurcate the image and achieve the target. In this research the satellite images are used to gain the precise knowledge of specific type of vegetation.. Support Vector Machine is used as classifier . the result has proven that the species are correctly identified from the arable land. Author has achieved accuracy of 90.6% with processing delay of 105.2 msec for 1600 blocks training in SVM