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A cascaded design of best features selection for fruit diseases recognition
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Comput. Mater …,
2022 |
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A new approach to detect mildew disease on cucumber (Pseudoperonospora cubensis) leaves with image processing
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Journal of Plant Pathology,
2022 |
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An Experimental Evaluation in Plant Disease Identification Based on Activation-Reconstruction Generative Adversarial Network
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2022 2nd International Conference on …,
2022 |
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Detection of Paddy Blast: An Image Processing Approach with Threshold based OTSU
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Malaysian Journal of Science and …,
2022 |
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GREENHOUSE MONITORING AND CONTROLLING SYSTEMS USING IMAGE PROCESSING AND SENSORY TECHNIQUES
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2021 |
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Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases
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Windi, AH Abbas… - Al-Mustansiriyah Journal …,
2021 |
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Cucumber Leaves Diseases Detection through Computational Approaches: A Review
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Asian Journal of Research in Biosciences,
2021 |
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A Systematic Literature Survey on Generative Adversarial Network Based Crop Disease Identification
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2021 International Conference on …,
2021 |
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Unsupervised deep learning techniques for powdery mildew recognition based on multispectral imaging
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arXiv preprint arXiv …,
2021 |
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Machine Vision-based Expert System for Automated Cucumber Diseases Recognition and Classification
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… on INnovations in …,
2021 |
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Application of Feature Selection for Identification of Cucumber Leaf Diseases (Cucumis sativa L.)
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JISA (Jurnal Informatika …,
2021 |
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심층 CNN 기반 구조를 이용한 토마토 작물 병해충 분류 모델
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한국산학기술학회논문지,
2021 |
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Memetic salp swarm optimization algorithm based feature selection approach for crop disease detection system
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Journal of Ambient Intelligence and Humanized …,
2021 |
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Cucumber disease recognition using machine learning and transfer learning
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Bulletin of Electrical Engineering …,
2021 |
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Tomato Crop Diseases Classification Models Using Deep CNN-based Architectures
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2021 |
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Rice Fungal Diseases Recognition Using Modern Computer Vision Techniques
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2021 |
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Internet of Things Concept and Its Applications
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2021 |
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Rice diseases detection using Convolutional Neural Networks: A Survey
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2021 |
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Identification of Plant leaf diseases using Adaptive Neuro Fuzzy Classification
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2021 |
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[20]
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Autoencoders for semantic segmentation of rice fungal diseases
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2021 |
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[21]
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Machine Learning Techniques in Plant Conditions Classification and Observation
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2021 |
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[22]
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A joint framework of feature reduction and robust feature selection for cucumber leaf diseases recognition
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2021 |
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A Review on Artificial Intelligence Techniques for Disease Recognition in Plants
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2021 |
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Identification of cucumber leaf diseases using deep learning and small sample size for agricultural Internet of Things
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2021 |
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Cucumber Disease Recognition Based on Depthwise Separable Convolution
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2020 |
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An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection
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2020 |
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A Survey on Intelligent Techniques for Disease Recognition in Agricultural Crops
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2020 |
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A Comprehensive Survey on Pest Detection Techniques using Image Processing
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2020 |
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Computer Vision-based Plant Leaf Disease Recognition using Deep Learning
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International Journal of Innovative Technology and Exploring Engineering,
2020 |
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Graph Constraint and Collaborative Representation Classifier Steered Discriminative Projection with Applications for the Early Identification of Cucumber Diseases
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2020 |
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[31]
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P ant ea Di ea e Re ognition ing Dee earning roa h
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2020 |
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Research and Implementation of Organic Cucumber Intelligent Greenhouse Monitoring System Based on NB-IoT and Raspberry Pi
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2020 |
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[33]
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Ecosistema de datos agrícolas: sector hortícola mexicano
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2020 |
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[34]
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植物病害自動診断のための実用的なシステムの構築
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2020 |
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[35]
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Pseudo Color Region Features for Plant Disease Detection
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2020 |
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[36]
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Detection of Plant Leaf Diseases using CNN
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2020 |
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[37]
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AI-Powered Image-Based Tomato Leaf Disease Detection
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2019 |
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[38]
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State-of-the-Art Internet of Things in Protected Agriculture
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2019 |
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[39]
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Machine Learning for Plant Leaf Disease Detection and Classification–A Review
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2019 |
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Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks
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2019 |
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[41]
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Non-Destructive Techniques of Detecting Plant Diseases: A Review
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2019 |
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A new proposal for automatic identification of multiple soybean diseases
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2019 |
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[43]
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Crop Organ Segmentation and Disease Identification Based on Weakly Supervised Deep Neural Network
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2019 |
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[44]
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Support vector machine classifier based detection of fungal rust disease in Pea Plant (Pisam sativam)
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International Journal of Information Technology,
2018 |
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[45]
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Three-channel convolutional neural networks for vegetable leaf disease recognition
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Cognitive Systems Research,
2018 |
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[46]
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Unsupervised Segmentation of Greenhouse Plant Images Based on Statistical Method
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Scientific Reports,
2018 |
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[47]
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Image Segmentation for Feature Extraction: A Study on Disease Diagnosis in Agricultural Plants
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Feature Dimension Reduction for Content-Based Image Identification,
2018 |
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[48]
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Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination
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Sensors,
2018 |
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[49]
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Automatic Rice Leaf Diseases Detection Using SVM
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2018 |
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[50]
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Paddy leaf disease detection using SVM with RBF classifier
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International Journal of Pure and Applied Mathematics,
2017 |
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[51]
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PADDYLEAF DISEASEDETECTION USING SVM WITHRBFNCLASSIFIER
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International Journal of Pure and Applied Mathematics,
2017 |
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[52]
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An individual grape leaf disease identification using leaf skeletons and KNN classification
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2017 |
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[53]
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Leaf image based cucumber disease recognition using sparse representation classification
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Computers and Electronics in Agriculture,
2017 |
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[54]
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Fusion of superpixel, expectation maximization and PHOG for recognizing cucumber diseases
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Computers and Electronics in Agriculture,
2017 |
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[55]
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Detection of Silybum marianum infection with Microbotryum silybum using VNIR field spectroscopy
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Computers and Electronics in Agriculture,
2017 |
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[56]
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Apple leaf disease identification using genetic algorithm and correlation based feature selection method
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2017 |
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[57]
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An Image Processing Approach for Cucumber Powdery Mildew Infection Detection
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Proceedings of the New Trends in Information Technology,
2017 |
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[58]
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The Disease Assessment of Cucumber Downy Mildew Based on Image Processing
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2017 |
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[59]
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Study of digital image processing techniques for leaf disease detection and classification
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Multimedia Tools and Applications,
2017 |
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[60]
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Real time automatic bruise detection in (Apple) fruits using thermal camera
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2017 |
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[61]
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Grape Leaf Disease Identification Using Leaf Skeletons And KNN
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International Journal of Science and Engineering Research,
2017 |
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[62]
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DETECTION OF TUNGRO DISEASE IN RICE LEAF IN RELATION TO NITROGEN LEVEL USING LASER LIGHT BACKSCATTERING IMAGING
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2017 |
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[63]
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Detection of Powdery Mildew Disease of Beans in India: A Review
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2016 |
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[64]
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Cucumber disease recognition based on Global-Local Singular value decomposition
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Neurocomputing,
2016 |
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[65]
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Automated detection of Mycosphaerella melonis infected cucumber fruits
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IFAC-PapersOnLine,
2016 |
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[66]
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Effect of Image Quality Improvement on the Leaf Image Classification Accuracy
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International Journal of Computer Science and Information Technologie,
2015 |
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[67]
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Detection of Paddy Leaf Diseases
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International Journal of Computer Applications,
2015 |
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[68]
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EARLY DETECTION AND CLASSIFICATION OF APPLE LEAF DISEASE-USING MODELS
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