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AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf

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

inferredcites →https://doi.org/10.1007/978-3-319-68612-7openalex-snapshot
Data stream classification by adaptive semi-supervised fuzzy clustering
inferredcites →https://doi.org/10.1007/s11042-021-10599-4openalex-snapshot
Improved crossover based monarch butterfly optimization for tomato leaf disease classification using convolutional neural network
inferredcites →https://doi.org/10.1016/j.aiia.2020.04.003openalex-snapshot
Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning
inferredcites →https://doi.org/10.1016/j.asoc.2019.105933openalex-snapshot
Attention embedded residual CNN for disease detection in tomato leaves
inferredcites →https://doi.org/10.1016/j.compag.2018.03.032openalex-snapshot
A comparative study of fine-tuning deep learning models for plant disease identification
inferredcites →https://doi.org/10.1016/j.compag.2018.08.013openalex-snapshot
Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
inferredcites →https://doi.org/10.1016/j.compag.2019.104948openalex-snapshot
Depthwise separable convolution architectures for plant disease classification
inferredcites →https://doi.org/10.1016/j.compag.2020.105393openalex-snapshot
Using deep transfer learning for image-based plant disease identification
inferredcites →https://doi.org/10.1016/j.compag.2020.105527openalex-snapshot
Deep feature based rice leaf disease identification using support vector machine
inferredcites →https://doi.org/10.1016/j.compag.2021.106410openalex-snapshot
Dual-branch, efficient, channel attention-based crop disease identification
inferredcites →https://doi.org/10.1016/j.compeleceng.2019.04.011openalex-snapshot
Identification of plant leaf diseases using a nine-layer deep convolutional neural network
inferredcites →https://doi.org/10.1016/j.procs.2020.03.225openalex-snapshot
ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network
inferredcites →https://doi.org/10.1080/09720529.2020.1721890openalex-snapshot
Application of convolutional neural networks for evaluation of disease severity in tomato plant
inferredcites →https://doi.org/10.1109/iceca.2017.8212798openalex-snapshot
Cloud based automated irrigation and plant leaf disease detection system using an android application
inferredcites →https://doi.org/10.1109/icict46931.2019.8977648openalex-snapshot
A Comparative Study of CNN and AlexNet for Detection of Disease in Potato and Mango leaf
inferredcites →https://doi.org/10.1109/smart46866.2019.9117437openalex-snapshot
Leaves Diseases Detection of Tomato Using Image Processing
inferredcites →https://doi.org/10.1109/tim.2016.2622860openalex-snapshot
A Finger Vein Image-Based Personal Identification System With Self-Adaptive Illuminance Control
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2019/9142753openalex-snapshot
Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques
inferredcites →https://doi.org/10.1186/s13007-020-00624-2openalex-snapshot
Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model
inferredcites →https://doi.org/10.1186/s13673-017-0110-9openalex-snapshot
A fusion approach based on infrared finger vein transmitting model by using multi-light-intensity imaging
inferredcites →https://doi.org/10.3390/agriculture11070651openalex-snapshot
Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module
inferredcites →https://doi.org/10.3390/electronics10121388openalex-snapshot
Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach
inferredcites →https://doi.org/10.3390/s21072514openalex-snapshot
A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning
inferredcites →https://doi.org/10.3390/technologies8030046openalex-snapshot
Hardware Implementation of a Softmax-Like Function for Deep Learning
inferredcites →https://doi.org/10.34133/2019/9237136openalex-snapshot
How Convolutional Neural Networks Diagnose Plant Disease
inferredcites →https://doi.org/10.4018/978-1-5225-8027-0.ch010openalex-snapshot
Deep Learning-Based Mobile Application for Plant Disease Diagnosis

What points at this work

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

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Comparative Analysis of Tomato Leaf Disease Prediction Using Inceptionv3 and Vgg16
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Use of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) for Disease Detection in Tomato Crops: A Systematic Mapping
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Exploring Convolutional Neural Networks for Image Classification and Object Detection
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An Improved Approach To Classify Plant Disease Using CNN And Random Forest
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Standalone SqueezeNet for Accurate and Resource-Efficient Tomato Leaf Disease Classification
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Privacy Preservation of Plant Disease Detection using Hashing based Convolution Neural Network
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War Strategy Optimization-enabled Alex Net for classification of colon cancer
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Detection and Categorization of Tomato Plant Diseases using A Convolutional Neural Network
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Towards Sustainable Agriculture: Automated Tomato Leaf Disease Classification using Deep Learning Techniques
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Classification of Ultrasound PCOS Image using Deep Learning based Hybrid Models
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Efficient Plant Disease Detection using K-Means clustering and DenseNet-based Classification
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A Novel Deep Neural Network-Based Prediction Model for Identifying Diseases in Tomato Leaves
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Exploring Advanced Methods for Tomato Leaf Disease Detection: A Convolutional Neural
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NeuralNet AgroGuard: A Deep Learning Approach to Tomato Leaf Disease Detection
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Modified Barnacles Mating Optimization with Deep Learning based Tomato Disease Detection and Classification
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Lightweight Attention-Enhanced MobileNetV3 for Tomato Leaf Disease Classification
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DF-SE-ResNet: Orange Leaf Disease Classification Method Based on Improved Attention Mechanism and FPN Fusion
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A Multidisease Diagnostic Framework utilizing CNN
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Comparative Analysis of Deep Learning Architectures for Multi-Crop Disease Identification
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Exploring the Limits of Multi-Task Learning for Time-to-Degree Prediction: GRA Feature Selection, Huber Loss, and GWO-SA Optimization
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Deep Learning-Based Cataract Severity Recognition Using an Enhanced VGG16 Architecture
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Implementation of Single-Class Convolutional Neural Network for Detecting Lemon Plant Diseases
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CTPlantNet: A Hybrid CNN-Transformer Architecture for Plant Disease Classification
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Precision Agriculture Revolution: Advanced Tomato Leaf Disease Detection with Optimized EfficientNet-B3
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CNN Design with AlexNet Algorithm for Diagnosis of Diseases in Cassava Leaves
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A Comparison of Different Optimization Techniques in AlexNet for Plant Disease Classification: SGD, Adadelta, ASGD and Adagrad
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Tomato disease degree recognition based on RGB and Lab color space conversion method
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Tomato Leaf Disease Detection Using ML, IP and Fabrication of Pesticides Spraying Prototype
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Multi classification of Tomato Leaf Diseases: A Convolutional Neural Network Model
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EfficientNet-Based Deep Learning Neural Network for Accurate Plant Disease Detection
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Design and Development of Tomato Leaf Classification Framework Using CNN
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Deep Learning for Robust Plant Leaf Disease Classification with Convolutional Neural Network
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Plant Disease Detection in Precision Agriculture: Deep Learning Approaches
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A Deep Learning for Early Tomato Leaf Disease Detection: A CNN Approach
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Image-Based Detection of Plant Leaf Diseases Using Convolutional Neural Networks
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Hybrid Deep Learning Framework for Real-Time Oral Cancer Detection and Prevention Using Multi-Model CNN Integration
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CPDCNN: Classification of Plant Disease using Convolutional Neural Network
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Networked Mobile Robots for Smart Agriculture
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Imaging Histopathology of Breast Cancer for Detection
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Tomato Leaf Disease Detection using Neural Networks
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Tomato Leaf Disease Detection Using EfficientNetB3
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Comparative Analysis of Pre-Trained CNN Models for Plant Disease Detection
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Disease Identification Model for Pomelo Leaves Using Deep Learning
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Federated Learning for Mango Ripeness Classification: Evaluating Pre-Trained Deep Learning Frameworks
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Fracture Detection in X-Ray Images Using Whale Optimization Algorithm-Enhanced Bi-Directional LSTM Networks
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Deep Learning Image Embeddings for Ventricular Beat Classification
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Sparse Adversarial Unrolling Network for Bearing Compound Fault Classification
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A novel hybrid CNN methodology for automated leaf disease detection and classification
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A Lightweight Intelligent Vision Architecture With Receptive Field Enhancement and Channel Similarity Attention for Plant Disease Diagnosis
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Ensemble Learning of Lightweight Deep Convolutional Neural Networks for Crop Disease Image Detection
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A Research Review and Perspective Toward Plant Leaf Disease Detection Using Image Processing Techniques
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What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
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An improved BP neural network with approximate prior vector inner product for real-time IGBT junction temperature prediction
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DA-ActNN-YOLOV5: Hybrid YOLO v5 Model with Data Augmentation and Activation of Compression Mechanism for Potato Disease Identification
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A Comparative Study of Image Representation for Roller Bearing Fault Diagnosis Using Pretrained Networks
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Harnessing Deep Learning With AlexNet for Tomato Leaf Disease Detection in the Indian Himalayan Terrain
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Corn Plant Disease Classification Based on Leaf using Residual Networks-9 Architecture
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Detection of plant root diseases using computational intelligence and advanced image processing techniques
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Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network
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Ontology-based classification method using statistical and symbolic approaches for plant diseases detection in Agriculture
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Drone-Assisted Plant Disease Identification Using Artificial Intelligence: A Critical Review
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A Review on Quantum-Enhanced Deep Learning Frameworks for Reliable Plant Disease Detection
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Lightweight deep neural networks: Optimization of vehicle classification using ICBAM based on depthwise separable convolutions
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Insect Pest Image Detection and Classification using Deep Learning
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11 Leveraging computational intelligence and mathematical modeling for sustainable future in agriculture: a unified paradigm for recognizing tomato leaf diseases
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Deep Learning and Machine Learning Based Method for Crop Disease Detection and Identification Using Autoencoder and Neural Network
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Efficient Real-Time Detection of Plant Leaf Diseases Using YOLOv8 and Raspberry Pi
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Plant Disease Recognition Using Residual Convolutional Enlightened Swin Transformer Networks
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Developing Common Bacteria Blight Disease Detection Model for Common Bean Using Deep Learning Approach
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Tomato Leaf Diseases Classification using Convolutional Neural Networks with Transfer Learning Resnet-50
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Comparative Analysis of Deep Learning Models for Tomato Leaf Disease Classification: Insights and Opportunities
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Deep Learning Based Tomato Plant Disease Detection: A Review on Challenges and Future Directions
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RhodaNet: A novel deep learning architecture for Rose disease classification
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Application of Convolutional Neural Networks for Watermelon Detection in UAV Aerial Images: A Case Study
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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security
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Automatic detection of tomato leaf disease using an adopted deep learning algorithm
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