Image-Based Oil Palm Leaves Disease Detection Using Convolutional Neural Network

Abstract

Over the years, numerous studies have been conducted on the integration of computer vision and machine learning in plant disease detection. However, these conventional machine learning methods often require the contour segmentation of the infected region from the entire leaf region and the manual extraction of different discriminative features before the classification models can be developed. In this study, deep learning models, specifically, the AlexNet convolutional neural network (CNN) and the combination of AlexNet and support vector machine (AlexNet-SVM), which overcome the limitation of handcrafting of feature representation were implemented for oil palm leaf disease identification. The images of healthy and infected leaf samples were collected, resized, and renamed before the model training. These images were directly used to fit the classification models, without the need for segmentation and feature extraction as in models, without the need for segmentation and feature extraction as in the conventional machine learning methods. The optimal architecture of AlexNet CNN and AlexNet-SVM models were then determined and subsequently applied for the oil palm leaf disease identification.Comparative studies showed that the overall performance of the AlexNet CNN model outperformed AlexNet-SVM-based classifier.

Logic Mining Approach: Shoppers’ Purchasing Data Extraction via Evolutionary Algorithm

“…In conclusion, the three primary objectives stated were accomplished Other than that, online stores can create special promotions, such as happy hour sales for customers. In terms of the model architecture, this work can be further extended by using different variants of ANN, ranging from the radial basis function neural network, ensemble feedforward neural network, and support vector machine (Jimoh et al, 2022) and convolutional neural network (Ong et al, 2022). Other structures of SAT can also be implemented in the selected ANN as a symbolic logical rule, such as Boolean satisfiability with majority logic (Amarú et al, 2015).…”

Oil Palm Leaves Phenotyping using Biomarkers Derived from Raman Spectra

“…Nutrient deficiency in oil palm trees can lead to physical manifestations, such as stunted tree height, reduced foliage, and smaller frond leaf areas. Oil palm tree diseases can be categorized based on their symptoms in roots, basal stems, and leaves [7]. Leaves, as a critical biological system in plants, hold valuable nutrient data, including chlorophyll and NPK content, serving as a yardstick for assessing tree health [8].…”