Made Arya Bhaskara Putra, Made Arya Bhaskara
Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Udayana

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Pengembangan Algoritma Image Processing untuk Menduga Hasil Panen Padi Putra, Made Arya Bhaskara; S. Wijaya, I Made Anom; Setiyo, Yohanes -
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 3 No 1 (2015): Maret
Publisher : Program Studi Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.573 KB)

Abstract

The aims of this research were to develop image processing algorithm that can be used for rice yield estimation. This research consist of: 1) image acquisition, 2) image analysis with Adobe Photoshop Cs 4 and MATLAB R2009B, and 3) make the algorithm that suitable for rice yield estimation. This research was testing three method of image processing, i.e. manual pre-processing, thresholding method, and shape of Structuring Elements (SE). Forming algorithm was done by analyzing image yield and be compare with real image. More like image yield with real image, then this method was suitable for doing rice image analysis. The result of analysis showed that process of rice image analysis have to be started with manual pre-processing, using custom thresholding method, and morphology with SE shape disk. The result image of the algorithm showed the most appropriate grain image with real image, and there’s no more image that identified as a grain. Based on number of pixel, the image yield of this method is 117.407 pixel. In conclusion, the algorithm for estimation of rice yield, consist of: image acquisition, manual pre-processing, gray scaling, thresholding custom, morphology with SE shape disk, image resize, and calculation of the number of pixel grain.
ESTIMASI PRODUKSI PADI DENGAN ANALISIS CITRA SATELIT LANDSAT 8 DI KABUPATEN KLUNGKUNG PROVINSI BALI Putra, Made Arya Bhaskara; Nuarsa, I Wayan; Adnyana, I Wayan Sandi
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 12 No 1 (2018)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.06 KB) | DOI: 10.24843/EJES.2018.v12.i01.p12

Abstract

Rice crop is one of the important commodities that must always be available, so estimation of rice production becomes very important to do before harvesting time to know the food availability. The technology that can be used is remote sensing technology using Landsat 8 Satellite. The aims of this study were (1) to obtain the model of estimation of rice production with Landsat 8 image analysis, and (2) to know the accuracy of the model that obtained by Landsat 8. The research area is located in three sub-districts in Klungkung regency. Analysis in this research was conducted by single band analysis and analysis of vegetation index of satellite image of Landsat 8. Estimation model of rice production was developed by finding the relationship between satellite image data and rice production data. The final stage is the accuracy test of the rice production estimation model, with t test and regression analysis. The results showed: (1) estimation of rice production can be calculated between 67 to 77 days after planting; (2) there was a positive correlation between NDVI (Normalized Difference Vegetation Index) vegetation index value with rice yield; (3) the model of rice production estimation is y = 2.0442e1.8787x (x is NDVI value of Landsat 8 and y is rice production); (4) The results of the model accuracy test showed that the obtained model is suitable to predict rice production with accuracy level is 89.29% and standard error of production estimation is + 0.443 ton/ha. Based on research results, it can be concluded that Landsat 8 Satellite image can be used to estimate rice production and the accuracy level is 89.29%. The results are expected to be a reference in estimating rice production in Klungkung Regency.