Advances in Machine Learning & Artificial Intelligence(AMLAI)

Department of Computing, Anchor University, Nigeria

Publications

• Research Article   
  Convolutional Neural Networks with Fuzzy-Based Modelling: A Framework for Disease Detection in Cocoa Crops
  Author(s): Olaoluwa Adekoye, Abiodun Muyideen Mustapha* and Daberechi Okorie
  
  Context: The increasing need for accurate and interpretable computer vision systems in agriculture has driven research into hybrid intelligent models. Cocoa production in Nigeria suffers significant yield losses due to diseases such as Black Pod and Cocoa Swollen Shoot Virus Disease (CSSVD), while manual inspection remains slow, subjective, and inefficient. Integrating fuzzy logic with convolutional neural networks (CNNs) offers a pathway to address diagnostic uncertainty and environmental variability. Objectives: This study aims to develop and evaluate a Fuzzy-based Convolutional Neural Network (CNN–Fuzzy) framework for the automated detection and classification of major cocoa diseases. The goal is to enhance diagnostic accuracy, improve handling of uncertain field conditions, and provide a practical decision-support tool for farmers... Read More»
  

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