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All Journal Jurnal Nasional Teknologi Informasi dan Aplikasinya
Nurbidin, krisphino Saputra
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Computer Science & IT

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Identifikasi Tingkat Kematangan Buah Tomat Menggunakan Convolution Neural Network (CNN) Nurbidin, krisphino Saputra; Suhartana, I Ketut Gede
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Tomatoes are one of the agricultural commodities, where distribution from farmers to sellers requires a series of processes and a long time. The problem is that tomatoes are easily damaged and rotted, so they are easily exposed to fungal infections, are watery and have a bad smell, which can harm farmers or traders. To prevent spoilage of tomatoes at the time of distribution, a system is needed that can help the process of checking tomato maturity. The solution uses the (CNN) method which has the most significant results in digital image recognition. This is because CNN is implemented based on an image recognition system in the human visual cortex. CNN is a type of neural network that is commonly used in image data. CNN can be used to detect and recognize objects in an image.
Co-Authors I Ketut Gede Suhartana