Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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Plant identification using deep neural networks via optimization of transfer learning parameters

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A new automatic method for disease symptom segmentation in digital photographs of plant leaves

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Using Deep Learning for Image-Based Plant Disease Detection

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Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

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Identification of Alfalfa Leaf Diseases Using Image Recognition Technology

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Deep Learning in Drug Discovery

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Deep learning

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Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

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Leaf Doctor: A New Portable Application for Quantifying Plant Disease Severity

(2015) Sarah J. Pethybridge et al.   PLANT DISEASE

Image-based phenotyping of plant disease symptoms

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Potential of radial basis function-based support vector regression for apple disease detection

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Measuring Quantitative Virulence in the Wheat Pathogen Zymoseptoria tritici Using High-Throughput Automated Image Analysis

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An Automatic Method to Detect and Measure Leaf Disease Symptoms Using Digital Image Processing

(2014) Jayme Garcia Arnal Barbedo   PLANT DISEASE

Integrating SOMs and a Bayesian Classifier for Segmenting Diseased Plants in Uncontrolled Environments

(2014) Deny Lizbeth Hernández-Rabadán et al.   TheScientificWorldJOURNAL

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Comparison of perceptual color spaces for natural image segmentation tasks

(2011) Fernando E. Correa-Tome   OPTICAL ENGINEERING

Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging

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