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IDENTIFIKASI MUTU FISIK JAGUNG DENGAN MENGGUNAKAN PENGOLAHAN CITRA DIGITAL DAN JARINGAN SYARAF TIRUAN
Abstract
Physical quality factors are the main problems in the dried seed corn production. Determination of physical quality
is usually carried out visually by the persons who have expertise related to their experiences. This method is
exhaustive and imprecise since it is influenced by human fatigue. The objective of this research is to identify the
physical quality of seed corn by using the digital image processing and artificial neural network (ANN). The image
of seed corn was taken by using digital camera and processed by image processing program. ANN model was
developed with 10 input parameters, 20 hidden layers and 4 targets. The fourth targets were whole seed,
damaged seed, broken seed and mouldy seed. The accuracy of the model was 95%.
is usually carried out visually by the persons who have expertise related to their experiences. This method is
exhaustive and imprecise since it is influenced by human fatigue. The objective of this research is to identify the
physical quality of seed corn by using the digital image processing and artificial neural network (ANN). The image
of seed corn was taken by using digital camera and processed by image processing program. ANN model was
developed with 10 input parameters, 20 hidden layers and 4 targets. The fourth targets were whole seed,
damaged seed, broken seed and mouldy seed. The accuracy of the model was 95%.
Keywords
Seed corn, physycal quality, image prodessing, artificial neural network
Full Text:
PDFDOI: http://dx.doi.org/10.31153/js.v10i3.630
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