Library/DeepLearning_PlantDiseases
Library/DeepLearning_PlantDiseasesForked

MarkoArsenovic/DeepLearning_PlantDiseases

DeepLearning_PlantDiseases

Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

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MarkoArsenovic

MarkoArsenovic

MarkoArsenovic • individual

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Created

Jul 29, 2017

Project creation date

README Summary

This repository implements state-of-the-art deep learning CNN architectures for plant disease classification tasks. It focuses on training and evaluating various convolutional neural network models to automatically identify and classify different types of plant diseases from images.

AI Dev Skills

Unmapped

Convolutional Neural NetworksImage ClassificationTransfer LearningComputer VisionDeep Learning Model TrainingAgricultural AICNN Architecture ComparisonPlant Pathology Detection

Tags

Convolutional Neural NetworksImage ClassificationTransfer LearningComputer VisionDeep Learning Model TrainingAgricultural AICNN Architecture ComparisonPlant Pathology DetectionAutomated Plant PathologyImageCrop Health MonitoringSmart Farming ApplicationsAgricultureAgriTechFood SecurityEdge AI for FarmingComputer Vision for AgriculturePlant Disease DiagnosisOn-premiseAI for SustainabilityPrecision FarmingSelf-hostedAgricultural Image AnalysisEdge/MobilePython

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Recent Activity

Updated 4 years ago

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research
Quality
medium
Maturity
research

Categories

Observability & MonitoringPrimaryComputer VisionHealthcare & BiologyEdge & Mobile AIOther AI / MLDev Tools & AutomationModel Training

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Languages

Python100.0%

Timeline

Project created
Jul 29, 2017
Forked
Mar 23, 2026
Your last push
4 years ago
Upstream last push
4 years ago
Tracked since
Oct 13, 2021

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