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Santi Dwi Agustin
Universitas Gunadarma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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DEEP LEARNING IMPLEMENTATION USING CONVOLUTIONAL NEURAL NETWORK IN DETECTING DISEASES IN POTATO LEAVES Asep Juarna; Santi Dwi Agustin
Jurnal Explore Vol 13, No 1 (2023): JANUARI
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/explore.v13i1.661

Abstract

Potatoes are one of the tubers that planted on highland and lot of farmers who interesting because potatoes have stable value of selling. Based of Kementan notes (2018) that often failed harvest happened on farmers of potatoes. This research will explaining about diseases classification on leaves of potatoes using Convolutional Neural Networks (CNN) which is deep learning neural network. The purpose of this research is ti develop model of artificial neural network using Backpropagation and high accuracy CNN method. The  model’s parameters has 75 epochs and 30 batch_size while the activation modes uses Relu and Softmax ones. Evaluation of the model’s scores are 100% of training image and 96% of testing or validation image.  
Co-Authors Asep Juarna