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A Machine Learning Hybrid Approach for Diagnosing Plants Bacterial and Fungal Diseases

https://doi.org/10.14569/ijacsa.2023.0140198
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep Learning—A Technology With the Potential to Transform Health Care
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Cross-Validation Methods
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A Strategy for Selecting Data Mining Techniques in Metabolomics
inferredcites →https://doi.org/10.1007/978-3-7908-2604-3_16openalex-snapshot
Large-Scale Machine Learning with Stochastic Gradient Descent
inferredcites →https://doi.org/10.1007/978-981-19-4863-3_23openalex-snapshot
To Detect Plant Disease Identification on Leaf Using Machine Learning Algorithms
inferredcites →https://doi.org/10.1007/978-981-33-6424-0_7openalex-snapshot
A Multi-Plant Disease Diagnosis Method Using Convolutional Neural Network
inferredcites →https://doi.org/10.1007/s00371-021-02164-9openalex-snapshot
Real-time detection and identification of plant leaf diseases using convolutional neural networks on an embedded platform
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1007/s11760-020-01696-2openalex-snapshot
Fast gradient descent algorithm for image classification with neural networks
inferredcites →https://doi.org/10.1016/j.compag.2018.02.016openalex-snapshot
Deep learning in agriculture: A survey
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A systematic analysis of performance measures for classification tasks
inferredcites →https://doi.org/10.1016/j.sigpro.2019.02.010openalex-snapshot
Accelerated stochastic gradient descent with step size selection rules
inferredcites →https://doi.org/10.1017/s1481803500013336openalex-snapshot
Understanding receiver operating characteristic (ROC) curves
inferredcites →https://doi.org/10.1017/s2040470017001376openalex-snapshot
Potato Disease Classification Using Convolution Neural Networks
inferredcites →https://doi.org/10.1037/e471672008-001openalex-snapshot
Discriminatory analysis: Nonparametric discrimination: Consistency properties
inferredcites →https://doi.org/10.1094/pd-70-828openalex-snapshot
Survival of Shot-Hole Inoculum in Association with Dormant Almond Buds
inferredcites →https://doi.org/10.1101/731844openalex-snapshot
Applications of a Novel Knowledge Discovery and Data Mining Process Model for Metabolomics
inferredcites →https://doi.org/10.1108/03684920710743466openalex-snapshot
Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1109/access.2019.2914929openalex-snapshot
Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/access.2020.3039064openalex-snapshot
A Scientific Knowledge Discovery and Data Mining Process Model for Metabolomics
inferredcites →https://doi.org/10.1109/access.2022.3169147openalex-snapshot
Internet of Things (IoT) and Machine Learning Model of Plant Disease Prediction–Blister Blight for Tea Plant
inferredcites →https://doi.org/10.1109/caipt.2017.8320684openalex-snapshot
A review of deep learning in image recognition
inferredcites →https://doi.org/10.1109/csit.2018.8486222openalex-snapshot
Predicting Software Effort Estimation Using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/cvidliccea56201.2022.9824321openalex-snapshot
Application research of plant leaf pests and diseases base on unsupervised learning
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/icccnt45670.2019.8944530openalex-snapshot
Detection of Maize and Peach Leaf diseases using Image Processing
inferredcites →https://doi.org/10.1109/iccmc53470.2022.9753846openalex-snapshot
Retracted: Convolutional Neural Networks based Classification and Detection of Plant Disease
inferredcites →https://doi.org/10.1109/iccv.2007.4409066openalex-snapshot
Image Classification using Random Forests and Ferns
inferredcites →https://doi.org/10.1109/icinfa.2012.6246927openalex-snapshot
An improved random forest classifier for image classification
inferredcites →https://doi.org/10.1109/icmla.2016.0178openalex-snapshot
Basic Investigation on a Robust and Practical Plant Diagnostic System
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1148/radiology.143.1.7063747openalex-snapshot
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
inferredcites →https://doi.org/10.1201/b11429-4openalex-snapshot
Large-Scale Machine Learning with Stochastic Gradient Descent
inferredcites →https://doi.org/10.14569/ijacsa.2022.0131252openalex-snapshot
Machine Learning for Securing Traffic in Computer Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33019348openalex-snapshot
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
inferredcites →https://doi.org/10.22042/isecure.2019.11.0.11openalex-snapshot
Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining
inferredcites →https://doi.org/10.3389/fpls.2016.01419openalex-snapshot
Using Deep Learning for Image-Based Plant Disease Detection
inferredcites →https://doi.org/10.3389/fpls.2020.00751openalex-snapshot
A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/agriculture12070931openalex-snapshot
Plant Disease Detection and Classification Method Based on the Optimized Lightweight YOLOv5 Model
inferredcites →https://doi.org/10.3390/s17112557openalex-snapshot
Super-Resolution of Plant Disease Images for the Acceleration of Image-based Phenotyping and Vigor Diagnosis in Agriculture
inferredcites →https://doi.org/10.3390/sym11030343openalex-snapshot
Visual Tea Leaf Disease Recognition Using a Convolutional Neural Network Model
inferredcites →https://doi.org/10.48550/arxiv.1408.5093openalex-snapshot
Caffe: Convolutional Architecture for Fast Feature Embedding
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.51936/noqf3710openalex-snapshot
ROC curve, lift chart and calibration plot
inferredcites →https://doi.org/10.5281/zenodo.19712698openalex-snapshot
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
inferredcites →https://doi.org/10.5555/303568.303704openalex-snapshot
Convolutional networks for images, speech, and time series
inferredcites →https://doi.org/10.5897/ajar2018.13301openalex-snapshot
Occurrence of plant bacterial diseases in Jordan
inferredcites →https://doi.org/10.5962/p.416805openalex-snapshot
Morphology and ontogeny of conidia in Wilsonomyces carpophilus, gen. nov. and comb. nov., causal pathogen of shot hole disease of Prunus species
inferredcites →https://doi.org/10.62591/tamcs.2017.1.04openalex-snapshot
Evaluation of Classification Models in Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Addressing Agricultural Challenges: An Identification of Best Feature Selection Techniques for Dragon Fruit Disease Recognition
inferred← citeshttps://doi.org/10.1016/j.array.2023.100326openalex-snapshot
Addressing agricultural challenges: An identification of best feature selection technique for dragon fruit disease recognition
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109704openalex-snapshot
Advanced technologies for precision tree fruit disease management: A review
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10876953openalex-snapshot
Investigating Principal Component Analysis Impact on the Performance of Machine Learning Classifiers: A Health Informatics Application
inferred← citeshttps://doi.org/10.1109/acit62805.2024.10877122openalex-snapshot
Automating the Diagnosis of Cucumber Plant Diseases Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icamac62387.2024.10829272openalex-snapshot
Success Factors of Enterprise Resource Planning: A State-of-the-Art Mini Review
inferred← citeshttps://doi.org/10.1109/ictcs65341.2025.10989401openalex-snapshot
Data-Driven Decision-Making in IT Projects: A Regression Application in Software Estimation
inferred← citeshttps://doi.org/10.1109/ictcs65341.2025.10989450openalex-snapshot
Sentiment Analysis of Customer Feedback and Reviews in E-Commerce Systems
inferred← citeshttps://doi.org/10.1109/iwaiip58158.2023.10462815openalex-snapshot
Land-Cover Classification with Self-Supervised ResNet50 (Integrating Plantation Data)
inferred← citeshttps://doi.org/10.21776/ub.afssaae.2023.006.04.6openalex-snapshot
Enzyme dosage detection to degrade feathers in edible bird’s nests: A comparative convolutional neural networks study
inferred← citeshttps://doi.org/10.60087/japmi.vol.03.issue.01.id.006openalex-snapshot
AI and Healthcare in 2030: Predictions and Pathways
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