Using Deep Learning for Image-Based Plant Disease Detection
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Summary
Using a public dataset of 54,306 images of diseased and healthy plant leaves collected under controlled conditions, a deep convolutional neural network is trained to identify 14 crop species and 26 diseases (or absence thereof).
- Type
- article
- Published
- 2016-04-11
- Cited by
- 4,528
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W2473156356
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2528492
Keywords
Deep learning, Convolutional neural network, Computer science, Artificial intelligence, Plant disease
References
- Cutting World Hunger in Half
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Integrating SOMs and a Bayesian Classifier for Segmenting Diseased Plants in Uncontrolled Environments
- A Comparative Study on Application of Computer Vision and Fluorescence Imaging Spectroscopy for Detection of Huanglongbing Citrus Disease in the USA and Brazil
- Integrated pest management (IPM): definition, historical development and implementation, and the other IPM.
- The Pascal Visual Object Classes (VOC) Challenge
- Automatic Detection of Diseased Tomato Plants Using Thermal and Stereo Visible Light Images
- Deep learning in neural networks: An overview
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees
- Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards
- On the use of depth camera for 3D phenotyping of entire plants
- ImageNet Large Scale Visual Recognition Challenge
- Speeded-Up Robust Features (SURF)
- Backpropagation Applied to Handwritten Zip Code Recognition
- Distinctive Image Features from Scale-Invariant Keypoints
- Caffe: Convolutional Architecture for Fast Feature Embedding
- Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar
- Histograms of oriented gradients for human detection
Cited by
- Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning
- Machine Learning for Plant Disease Incidence and Severity Measurements from Leaf Images
- Basic Investigation on a Robust and Practical Plant Diagnostic System
- Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition
- A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision
- The application of unmanned aircraft systems to plant protection in China
- A Deep Learning-based Approach for Banana Leaf Diseases Classification
- Machine learning in plant disease research
- Deep phenotyping: deep learning for temporal phenotype/genotype classification
- Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case
- Detection of Plant Emergence Based on Spatio TemporalImage Sequence Analysis
- Hyper-spectral frequency selection for the classification of vegetation diseases
- Detection of potato diseases using image segmentation and multiclass support vector machine
- Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning.
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
- Deep Learning for Image-Based Cassava Disease Detection
- High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field.
- Development and assessment of a lysophospholipid-based deep learning model to discriminate geographical origins of white rice
- A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
- An In-field Automatic Wheat Disease Diagnosis System
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