Search Results - (leaf OR lead) ((image processing) OR (data processing))

Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.] by Roslan, Nor Atiqah, Burhanuddin, Nur Athirah, Zainalabidin, Nur Jannah, Shaharudin, Nur Syafiqah, Mohd Ghazalli, Hajar Izzati

“…Image processing phases that involved in this project is image acquisition, image pre-processing, segmentation, feature extraction and classification. …”
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Cassava leaf disease detection system using support vector machine / Nor Atiqah Roslan … [et al.] by Roslan, Nor Atiqah, Burhanuddin, Nur Athirah, Zainalabidin, Nur Jannah, Shaharudin, Nur Syafiqah, Mohd Ghazalli, Hajar Izzati

“…Image processing phases that involved in this project is image acquisition, image pre-processing, segmentation, feature extraction and classification. …”
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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

“…It is challenging task to analyze plant leaf images by a layman because there are very minute variations in some a plant leaf image and the large data set for analysis. …”
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Paddy leaf disease recognition system using image processing techniques and support vector machine / Hayatun Syamila Mamat, Nur Azwani Zaini and Suhaila Abd Halim … [et al.] by Mamat, Hayatun Syamila, Zaini, Nur Azwani, Abd Halim, Suhaila

“…A set of 105 image data with disease is converted to binary image using thresholding. 6 features from all the data are extracted and divided to testing and training set before the classification process. …”
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Feasibility study on plant chili disease detection using image processing techniques by Zulkifli, Husin, Ali Yeon, Md Shakaff, Prof. Dr., Abdul Halis, Abdul Aziz, Rohani, S. Mohamed Farook

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Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing / Nurul Shafekah Kassim by Kassim, Nurul Shafekah

“…This Maize Leaves Nutrient Deficiency Detection uses image processing techniques to determine the type of nutrient deficiency that occurs on the plant leaf. …”
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Pre-processing Technique using Colour-based Feature Method to Detect Categories of Leaves Disease by Siti Haslinda, Miasin, Lim, Phei Chin, Jacey Lynn, Minoi

“…Pre-processing was done on each of the non-uniform illumination condition raw data images. …”
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Citrus Tree Nutrient Deficiency Classification: A Comparative Study of ANN and SVM Using Colour-Texture Features in Leaf Images by Kamelia, Lia, T.K.A, Rahman, Nurmalasari, Rin Rin, Hamdani, Kiki Kusyaeri

“…The second stage involves applying segmentation processes to the images using the Canny and Sauvola methods. …”
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Maize leaf disease detection and classification using Convolutional Neural Network (CNN) / Syafiqah Amir by Amir, Syafiqah

“…Convolutional neural network (CNN), in particular, have demonstrated tremendous promise in image processing and pattern recognition applications in recent years. …”
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Design and Development of Ficus Species Database and 2D Leaf Image Identification System by Tee, Chiou Hau

“…The FicIDS system was designed and developed to identify Ficus plants based on the leaf image and to store the data about these species. …”
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Hybrid system for botany recognition/ Yew Kok Weng by Yew, Kok Weng

“…This project proposal contains mainly the leaf recognition module. It contains a study of the current recognition technology, including both image processing field and the neural network field. …”
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Ficusdeltoidea (Jack) Moraceae Varietal Identification Using Statistical Recognition Approach by Ahmad Fakhri, Ab. Nasir, M. Nordin, A. Rahman, Nashriyah, Mat, A. Rasid, Mamat, Ahmad Shahrizan, Abdul Ghani

“…This paper presents a hybrid of filter and wrapper in feature selection as well as an empirical comparison of feature selection wrapper method using Sequential Forward Selection and feature extraction method using Principal Component Analysis on a benchmark of 420 images of Ficus deltoidea leaf with 6 varieties. At first, the leaf images are processed using image pre processing techniques. …”
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Corn leaf disease detection system using Convolutional Neural Network / Wan Nurul Izzah Abd Hadi, Iman Hazwam Abdul Halim by Abd Hadi, Wan Nurul Izzah, Abdul Halim, Iman Hazwam

“…It takes a significant amount of time, a substantial amount of labor, as well as knowledge in plant diseases to achieve. Image processing is thus used in the process of detecting plant diseases. …”
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Corn leaf disease recognition system using convolutional neural network with the implementation of Xception model / Wan Nurul Izzah Abd Hadi ... [et al.] by Abd Hadi, Wan Nurul Izzah, Jamaluddin, Muhammad Nabil Fikri, Abd Halim, Iman Hazwam, Syamsul Hamid, Ros

“…It takes a significant amount of time, a substantial amount of labor, as well as knowledge in plant diseases to achieve. Image processing is thus used in the process of detecting plant diseases. …”
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Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification by Md Shofiqul, Islam, Sultana, Sunjida, Al Farid, Fahmid, Islam, Md Nahidul, Rashid, Mamunur, Bari, Bifta Sama, Noramiza, Hashim, Mohd Nizam, Husen

“…In our preprocessing, we use Bilateral filtering to handle larger features to make the image smoother and the Ostu image segmentation process to remove noise in a fast and simple way. …”
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Husk, bacterial leaf blight, and weedy rice classification in paddy seeds using imaging techniques by Jamil, Norazlida

“…In conclusion, the image processing techniques can be used to detect the impurities of paddy seeds caused by husks (using thermal imaging), BLB (using visible imaging), and WR (using visible imaging and physical properties). …”
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Lettuce Leaf Disease Detection Using Convolutional Neural Network Algorithm by NGU, SU HANG

“…The images all are undergoing image processing to enrich the image dataset, improve the performance of the model and avoid overfitting problem. …”
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Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale by Saberioon, Mohammadmehdi, Mohd Soom, Mohd Amin, Abdul Rahim, Anuar, Gholizadeh, Asa, Wayayok, Aimrun, Bejo, Siti Khairunniza

“…Digital photographs of the upper most collared leaf of rice (Oriza sativa L.), grown over a range of soils with different nitrogen treatments, were processed into 11 indices and IPCA through six growth stages. …”
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Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification by Islam, Md Shofiqul, Sultana, Sunjida, Farid, Fahmid Al, Islam, Md Nahidul, Rashid, Mamunur, Bari, Bifta Sama, Noramiza, Hashim, Mohd Nizam, Husen

“…In our preprocessing, we use Bilateral filtering to handle larger features to make the image smoother and the Ostu image segmentation process to remove noise in a fast and simple way. …”
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Detecting Plant Leaf Diseases using Image Processing Techniques: A Survey by Chyntia Jaby, Entuni, Tengku Mohd Afendi, Zulcaffle

“…Most developing countries that rely on agricultural resources, such as India and Malaysia, still employ traditional techniques which are visual inspection to detect plant leaf diseases. Image processing is relatively new, cutting-edge technology in agriculture field to detect plant leaf diseases and the most important approach is through image segmentation. …”
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