Search Results - (( developing leaf classification algorithm ) OR ( java application using algorithm ))
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Hevea leaf features extraction and recognition algorithm for hevea clones classification using image / Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib
Published 2013“…Final result produced by the algorithm is 92.312% of average accuracy and the classification for the leaf was based on the leaf-shape information.…”
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Research Reports -
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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari
Published 2018“…The main objective is to developing a classification system for agriculture plant by image pre-processing, feature extraction, network training and classification. …”
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Student Project -
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Classification of Citrus (Rutaceae) by Using Image Processing
Published 2019“…The study present how to classify selected Citrus genus species with similar leaf shapes based on leaf images by using digital image vision machine classification. …”
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Undergraduate Final Project Report -
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Weed recognition based on erosion and dilation segmentation algorithm
Published 2009“…Many attempts have been made to develop efficient algorithms for recognition and classification. …”
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Conference or Workshop Item -
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Deep plant: A deep learning approach for plant classification / Lee Sue Han
Published 2018“…They look for the procedures or algorithms that maximize the use of leaf databases for plant predictive modelling, but this results in leaf features which are liable to change with different leaf data and feature extraction techniques. …”
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Thesis -
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…To overcome this problem, in recent years, researchers obtained some achievements with combination of invariant local features such as Scale Invariant Feature Transform (SIFT) with global feature of leaf images. Beside that, classic bag of visual words algorithm (BoVW) is based on kmeans clustering and every SIFT feature belongs to one cluster and it leads to decreasing classification results. …”
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Thesis -
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Classification of capsicum leaf disease from a complex cluster of leaves using an improved multiple layers ShuffleNet CNN model
Published 2023“…Several machine learning (ML) algorithms and convolutional neural network (CNN) models have been developed to classify capsicum leaf diseases under controlled conditions, where leaves are uniform and backgrounds are uncomplicated. …”
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Article -
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Leaf classification on Flavia dataset: A detailed review
Published 2023“…Briefly described are the procedural advancements and developments in the field of leaf classification. All the major techniques with significant advancements, the new effective approaches, and the novel techniques are discussed in this research. …”
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Effective k-Means Clustering in Greedy Prepruned Tree-based Classification for Obstructive Sleep Apnea
Published 2022“…Classification efficiency and speed of the former algorithm is more than two times better the latter algorithm over a higher range of points being run. …”
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Article -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm
Published 2014“…The algorithms were tested to classify the leaf samples into four levels of disease severity. …”
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Article -
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Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir
Published 2025“…The purpose of this project is to develop a mobile application for corn leaf disease detection leveraging the YOLOv8 (You Only Look Once version 8) object detection algorithm. …”
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Provider independent cryptographic tools
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Monograph -
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Classification model for hotspot occurrences using a decision tree method
Published 2011“…This work demonstrates the application of a decision tree algorithm, namely the C4.5 algorithm, to develop a classification model from forest fire data in the Rokan Hilir district, Indonesia. …”
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Article -
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Recognition system for leaf images based on its leaf contour and centroid
Published 2017“…In this study, an image processing algorithm in order to find out the shape structure of tested plants is presented. …”
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Conference or Workshop Item -
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Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation
Published 2013“…The results indicated that LDA-based model resulted in high average overall classification accuracies of 92% (leaf samples) and 94% (trunk samples) when mid-infrared absorbance spectra were analyzed. …”
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Thesis -
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Classification model for chlorophyll content using CNN and aerial images
Published 2024“…Therefore, this study proposed a classification approach in developing a deep learning model to analyse the plant’s health condition without human intervention. …”
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