Search Results - (( leaf classification techniques ) OR ( evolution computing techniques ))
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Classification of leaf disease from image processing technique
Published 2018“…This work presents the use of digital image processing technique for classification oil palm leaf disease sympthoms. …”
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Improving wheat leaf disease classification : Evaluating augmentation strategies and CNN-Based models with limited dataset
Published 2024“…Global food security is seriously threatened by wheat leaf disease, which makes effective and precise disease detection and classification techniques necessary. …”
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Augmentation strategies for plant disease classification
Published 2025“…Three different configurations of the LeafGAN model were tested, with each model applying distinct masking techniques: LeafGAN with LFLSeg uses basic LeafGAN outputs, SingleMask-LeafGAN applies leaf region masking to isolate the leaf from the background, and DualMask-LeafGAN combines both leaf region and disease symptom masking for enhanced disease simulation. …”
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Final Year Project / Dissertation / Thesis -
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Augmentation strategies for plant disease classification
Published 2025“…Three different configurations of the LeafGAN model were tested, with each model applying distinct masking techniques: LeafGAN with LFLSeg uses basic LeafGAN outputs, SingleMask-LeafGAN applies leaf region masking to isolate the leaf from the background, and DualMask-LeafGAN combines both leaf region and disease symptom masking for enhanced disease simulation. …”
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Final Year Project / Dissertation / Thesis -
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Automated leaf alignment and partial shape feature extraction for plant leaf classification
Published 2019“…The last few decades have witnessed various approaches to automate the process of plant classification using the characteristics of the leaf. …”
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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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Removal of Noise Using Filters for Efficient Leaf Identification
Published 2015“…Plant species identification and classification based on leaf shape is becoming a popular trend, since each leaf carries substantial information that can be used to identify and classify the type of a plant. …”
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Conference or Workshop Item -
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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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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari
Published 2018“…In this paper, by using the database available in the internet and using Neural Network (NN) as training algorithm, plant recognition based on leaves image would be developed. Image processing techniques are used to extract the leaf feature from histogram of the leaf image. …”
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Student Project -
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Rubber leaf blight disease detection using multispectral sensor in rural and urban area / Nur Adrianna Mat Ariffin
Published 2020“…Detection of plant disease by using a spectroradiometer instrument is helpful because it decreases huge monitoring in huge crop farms and detects the signs of the disease means at very early stages as they occur on plant leaves. The technique used for spectroradiometer detection as well as classification of plant leaf diseases and surveys on different disease classification techniques that can be used for plant leaf disease detection. …”
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Thesis -
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A novel framework for potato leaf disease detection using an efficient deep learning model
Published 2022“…Thus, an accurate automated technique for timely detection and classification is needed to cope with the aforementioned challenges.There exist techniques grounded on machine learning and deep learning procedures that use the existing dataset i.e., â��The Plant Village Datasetâ�� and perform classification into only two classes in potato leaves. …”
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A novel framework for potato leaf disease detection using an efficient deep learning model
Published 2022“…Thus, an accurate automated technique for timely detection and classification is needed to cope with the aforementioned challenges.There exist techniques grounded on machine learning and deep learning procedures that use the existing dataset i.e., â��The Plant Village Datasetâ�� and perform classification into only two classes in potato leaves. …”
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Harumanis mango leaf disease detection system using image processing technique / Nurhumaira Mohd Yusoff
Published 2021“…This approach is susceptible to human errors and those who do not possess this skill may not be able to detect the disease at the right time. As leaf diseases seriously affect the growth of the crop and the quality of the yield, this project aims to develop a Harumanis Mango Leaf Disease Detection System (HLDDS) that detects the presence of disease in the mango leaf using image processing technique. …”
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Thesis -
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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“…Linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), k-nearest neighbor (kNN), Naïve-Bayes (NB), artificial neural networks (ANNs) and support vector machines (SVMs) classification techniques, were tested to classify the leaf and trunk samples into four levels of disease severity. …”
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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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Performance analysis of machine learning algorithms for classification of infection severity levels on rubber leaves
Published 2023“…This work shows that the spectroscopic measurement combined with classification techniques are promising strategy to classify severity level of WRD based on the spectral data of the rubber leaves.…”
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Book Section -
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Husk, bacterial leaf blight, and weedy rice classification in paddy seeds using imaging techniques
Published 2016“…Meanwhile, visible imaging was used for BLB and WR classification because there were differences in colour properties, not in heat reflectance. …”
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Thesis -
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Taxonomic value of leaf venation and trichome characteristics in some Byttneria L. and Pterocymbium R. Br. (Malvaceae S.L)
Published 2013“…Results showed that the similarities and differences in leaf venation could be useful in classification and identification of species. …”
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