Corn Seeds Identification Based on Shape and Colour Features

• Hauptverfasser: Yafie, Haddad Alwi, Rachmawati, Ema, Prakasa, Esa, Nur, Amin
• Format: UMS Journal (OJS)
• Sprache: eng
• Veröffentlicht: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2020
• Schlagworte: artificial neural network, eccentricity, feature extraction, region of interest
• Online Zugang: https://journals.ums.ac.id/index.php/khif/article/view/10840

Corn is one of the agricultural products that are essential as daily food sources or energy sources. Corn selection or sorting is important to produce high-quality seeds before its distribution to areas with varying conditions and agricultural characteristics. Hence, it is necessary to build corn se...