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## Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine

#### Emrullah ACAR [1] , Müslime ALTUN [2]

Along with the data obtained from the developing remote sensing technologies, the use of machine learning techniques is widely employed in classification at a more effective and precise level. In this study, support vector machines (SVM) technique, one of the machine learning approaches, was utilized with the help of data obtained from satellite image, and it was aimed to classify agricultural products. Moreover, lentil and wheat products were employed for object detection, and Landsat-8 satellite was preferred as satellite imagery. In order to determine the plant indexes in the image, Landsat-8 image of the development period of agricultural products dated May 6, 2018 was used and 98 sample points were taken with the help of GPS on the pilot area. After that, the position of these points were transferred to Landsat-8 satellite image employing the QGIS program and NDVI values were calculated from these points, which corresponds to Landsat-8 NDVI image pixels. The obtained NDVI values were then utilized in the SVM as inputs. As a result, the accuracy of the overall system for crop classification on the pilot area was computed as 83.3%.
Remote Sensing, SVM, Landsat-8, NDVI, Crop Classification
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Primary Language en Computer Science, Artifical Intelligence January 2021 Araştırma Articlessi Orcid: 0000-0002-1897-9830Author: Emrullah ACAR (Primary Author)Institution: BATMAN UNIVERSITYCountry: Turkey Orcid: 0000-0001-9787-3286Author: Müslime ALTUNInstitution: BATMAN UNIVERSITYCountry: Turkey Publication Date : January 30, 2021
 Bibtex @research article { bajece863147, journal = {Balkan Journal of Electrical and Computer Engineering}, issn = {2147-284X}, address = {}, publisher = {Balkan Yayın}, year = {2021}, volume = {9}, pages = {78 - 82}, doi = {10.17694/bajece.863147}, title = {Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine}, key = {cite}, author = {Altun, Müslime} } APA Acar, E , Altun, M . (2021). Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine . Balkan Journal of Electrical and Computer Engineering , 9 (1) , 78-82 . DOI: 10.17694/bajece.863147 MLA Acar, E , Altun, M . "Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine" . Balkan Journal of Electrical and Computer Engineering 9 (2021 ): 78-82 Chicago Acar, E , Altun, M . "Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine". Balkan Journal of Electrical and Computer Engineering 9 (2021 ): 78-82 RIS TY - JOUR T1 - Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine AU - Emrullah Acar , Müslime Altun Y1 - 2021 PY - 2021 N1 - doi: 10.17694/bajece.863147 DO - 10.17694/bajece.863147 T2 - Balkan Journal of Electrical and Computer Engineering JF - Journal JO - JOR SP - 78 EP - 82 VL - 9 IS - 1 SN - 2147-284X- M3 - doi: 10.17694/bajece.863147 UR - https://doi.org/10.17694/bajece.863147 Y2 - 2021 ER - EndNote %0 Balkan Journal of Electrical and Computer Engineering Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine %A Emrullah Acar , Müslime Altun %T Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine %D 2021 %J Balkan Journal of Electrical and Computer Engineering %P 2147-284X- %V 9 %N 1 %R doi: 10.17694/bajece.863147 %U 10.17694/bajece.863147 ISNAD Acar, Emrullah , Altun, Müslime . "Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine". Balkan Journal of Electrical and Computer Engineering 9 / 1 (January 2021): 78-82 . https://doi.org/10.17694/bajece.863147 AMA Acar E , Altun M . Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine. Balkan Journal of Electrical and Computer Engineering. 2021; 9(1): 78-82. Vancouver Acar E , Altun M . Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine. Balkan Journal of Electrical and Computer Engineering. 2021; 9(1): 78-82. IEEE E. Acar and M. Altun , "Classification of the Agricultural Crops Using Landsat-8 NDVI Parameters by Support Vector Machine", Balkan Journal of Electrical and Computer Engineering, vol. 9, no. 1, pp. 78-82, Jan. 2021, doi:10.17694/bajece.863147

Authors of the Article
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