Kualitas Foto Udara pada Berbagai Ketinggian

  • I Wayan Aris Santika Putra Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia.
  • I Made Anom S. Wijaya Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia.
  • I.B.P. Putu Gunadnya Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia.

Abstract

Tujuan dari penelitian ini adalah mencari ketinggian akuisisi dengan kualitas hasil foto udara
terbaik. Akuisisi foto udara dilakukan dengan drone. Ketinggian akuisisi foto udara adalah 10m,
20m dan 30m. foto udara yang diambil merupakan foto tanaman padi varietas ciherang dengan
umur 100 hari setelah tanam. Analisis detail foto udara dilakukan dengan proses zooming dan
binerisasi citra. Proses zooming menggunakan software Adobe Photoshop Cs6. Proses binerisasi
citra menggunakan Software MatLab 2013. Ketinggian akuisisi 10m memiliki kualitas detail
terbaik.


 


Aim of this research is to find aerial photography acquisition altitude with the best quality image. The acquisition of aerial photography was done by using drones. Altitude of aerial photography acquisition was 10m, 20m and 30m. Aerial photos taken a image of ciherang rice varieties with the age of 100 days after planting. Detailed analysis of aerial photography was done by zooming and image binary. Zooming process was used Adobe Photoshop CS6 software. Binary imagery processed using MatLab 2013 software. The best quality of photo detail was obtained at 10m acquisition altitude.

Downloads

Download data is not yet available.

References

Bhaskara Putra.I.M.A.2015. Pendugaan Hasil Panen Padi Menggunakan Analisis Image Processing (Skripsi). Universitas Udayana. Jimbaran.

Bhaskara Putra.I.M.A. Wijaya, A.,S. Yohanes Setiyo. 2015. Pengembangan Algoritma Image Processing Untuk Menduga Hasil Panen Padi. Ojs.unud.ac.id. Universitas Udayana. Jimbaran.

Fokus Nusantara. 2013. Memahami Esensi Pencahayaan Dalam Fotograpi. http://www.focusnusantara.com/article/artikel_fotografi/memahami_esensi_pencahayaan_dalam_fotografi.html. tanggal akses (10 oktober 2016).

Fukagawa, T., K. Ishii, N. Noguchi and H. Terao. 2003. Detecting crop growth by a multispectral imaging sensor. ASAE Annual Meeting. Las Vegas, NV.

Gusa R.F. 2013. Pengolahan Citra Digital untuk Menghitung Luas Daerah Bekas Penambangan Timah. Jurnal ilmiah Vol: 2 No 2 September 2013 Universitas Bangka Belitung.

Huang, Y.B., S.J., Thomson, W.C., Hoffmann, Y.B., Lan, B.K., Fritz, 2013. Development and prospect of unmanned aerial vehicle technologies for agricultural production management. Int J Agric & Biol Eng 6(3): 1-10.

Unal, I., M., Topakcı, M., Canakci, D., Karayel, O., Kabas,2013. Determination of stubble density with the image processing method by using an autonomous robot, 9 th European Conference on Precision Agriculture, 7-11 July 2013, Lleida, Spain.

Lelong, C.D., P., Burger, G., Jubelin, B., Roux, S., Labbe, F., Baret, 2008. Assessment of unmanned aerial vehicles imagery for quantitative monitoring of wheat crop in small plots. Sensors. 8: 3557-3585.
Published
2017-01-23
How to Cite
SANTIKA PUTRA, I Wayan Aris; WIJAYA, I Made Anom S.; GUNADNYA, I.B.P. Putu. Kualitas Foto Udara pada Berbagai Ketinggian. Jurnal BETA (Biosistem dan Teknik Pertanian), [S.l.], v. 4, n. 2, p. 76-80, jan. 2017. ISSN 2502-3012. Available at: <https://ojs.unud.ac.id/index.php/beta/article/view/24789>. Date accessed: 18 apr. 2024.
Citation Formats
Issue
Vol 4 No 2 (2016): September
Section
Articles

Keywords

acquisition; altitude; detail; aerial photography.

Most read articles by the same author(s)