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Journal : JOIV : International Journal on Informatics Visualization

Multilayer Perceptron Model with Feature Extraction for Potassium Deficiency Identification of Cocoa Plants Basri, Basri; Karim, Harli A; Assidiq, Muhammad; Arafah, Muhammad; Rahmadani, Fitria
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2829

Abstract

The development of Multilayer Perceptron (MLP) models for networked learning systems heavily relies on the specific application case study and the accurate parameterization aligned with the chosen computer vision feature extraction models. This study proposes an MLP model for identifying potassium deficiency in cocoa plants. The feature extraction methodology employs object feature extraction that commonly used in computer vision, including Local Binary Pattern (LBP), Gray Level Co-Occurrence Matrix (GLCM), and Hue Saturation Value (HSV) models. These computer vision techniques aid in analyzing leaf characteristics classified into two categories: normal conditions and leaves identified with potassium deficiency. The dataset used in this research comprises two conditions: with a white background and without any specific background. The study evaluates various feature extraction techniques based on MLP parameters, incorporating network learning rates and optimizing solvers. Employing the ROC analysis method throughout the data collection, algorithm development, validation, and analysis phases reveals that the most effective classification performance, reaching up to 93.33% accuracy on the background dataset and 90.00% on the non-background dataset, is achieved using HSV-based color feature extraction with MLP parameters set at an initial learning rate of 10-3 and employing the Adam optimization solver. These outcomes underscore the suitability of HSV color feature extraction for identifying potassium deficiency in cocoa plant leaves. However, optimizing parameters remains crucial to maximize its application in real-time identification systems. Future research should refine these parameters to enhance the model's robustness and efficacy across broader agricultural contexts.
Co-Authors ABDUH, MOCHAMMAD Adhan, Muhammad Agung Gunawan Agus Halid, Agus ahmad yani Albertha Lolo Tandung Ambo Upe Amiruddin, Muh. Fauzan Andi Badli Rompegading Andi Sumardin, Andi Andis, Andis ANGRIAWAN, RANDY Arifuddin, Arman Asri, Andi Asriani, Besse Assidiq, Muhammad Asti, Mulham Jaki Awi Dassa, Awi Badli Rompegading, Andi Bahar, Erni Ekafitria Basri Basri Dahlan, Darsal Detti Uleng, Andi Dewanti, Lucky Fauziah Suhardi , Rifdah Tami Hadarmawandi, Hadarmawandi Hair, Miftahul Hardianti Arafah, Eka Henny Sri Astuty Herlina, Besse Hikmawati, Haeria ihya, Zahratul ILHAM Ilham Ilham Imran, Nadya Setyastuti Indradewa, Rhian Inriani Inriani, Inriani Irfandi, Rizal Irmawanti, Andi Juliati Koesrini Karim, Harli A Kawatu, Paul Johan M. Sabir, Fitriana Masauleng, Masauleng Maslihatin, Tatik Maulidinnawati, Andi Muhajirin, M Muhajirin, Muhajirin Muhammad Nasir Muhammad Nur Muhammad Nur Muhammad Sabri Muhammad Tahir Muhlis, Nur Fadhillah Mulyono , Mulyono Nasser P, Muh Kemal Nasser P, Muhammad Kemal Natsir, Khaidir Rahman Nur Fisabilianti, Nur Nur Hafsah Yunus, Muhammad Syaeba Nur, Irsan Nurcaya Nurcaya Nurcaya Nurhalisa, Nurhalisa NURZAENAB, NURZAENAB Parewe, Andi Maulidinnawati Abdul Kadir Parioga, Hesti Pasnur Pasnur Pasnur Pawe, Nisba Pitung, A. Pitung, Andi Punjanan, Abraham Andromeda Putri, Nur Fisabilianti Rahmadani, Fitria Rahmatullah, Andi Muhammad Ridha Rahmawati, Rahmawati Ramadhani Syam, Irma Resha, Muhammad Rika, Rika Rohanah, Rohanah Rony, Zahara Tussoleha Ruslang, Ruslang Ryzky Paisal, Tengku Sabir, Fitriana M. Samramadana, Muh Akram Sapitri, Irma Saputra, Febri Hidayat Sema, Sema Sengka, Rani Sir, Panessai Sitti Aminah Sodikin Sodikin Sofyan Sri Hardianti Rosadi Sudarmianti, Sudarmianti Suhartono, Robertus Heru Setyo Sumardin, A Sunarsih Sunarsih Suryadi Syamsu, Suryadi Syafruddin, S Syamsiar, Syamsiar Syamsu Rijal Tamrin, Fadli Tanjung, Akbar Tantu, Zakiah Tatik Maslihatin Taufik Tri Septiani Trywulan Syah, Uswah Winarti Winarti Yusuf , Andi M Zuraida