Rice Seedling Image Classification Using Light Convolutional Neural Network

• Auteurs principaux: Hermawan, Indra, Agustin, Maria, Arnaldy, Defiana
• Format: UMS Journal (OJS)
• Langue: eng
• Publié: Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2023
• Sujets: lightweight convolution neural network; rice seedling; arable land; image classification; farming
• Accès en ligne: https://journals.ums.ac.id/index.php/khif/article/view/20401

The need for food, especially rice, continues to increase. Therefore, a production increase of around 70% is required to meet the demand. In this case, supervision and care of rice from planting must be carried out efficiently, which can be done by deep learning, namely Convolutional Neural Networks...