Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

It is an application that leverages benefits of CNNs and predicts the disease of an infected plant by examining the image of the infected leaf. It also provides the organic method to prevent the disease.

Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".

Code in Torch for PlantVillage challenge: https://www.crowdai.org/challenges/1

A plant disease classification system using convolutional neural networks (CNNs) to identify healthy and diseased plant leaves from images, with interactive visualization through Gradio for real-time predictions and feature map analysis.

Plant disease detection on PlantVillage dataset using EfficientNetV2-B0

This repository contains an implementation of a CNN which predicts the disease that a tomato plant has based on a picture of one of its leaves. Images were obtained from the PlantVillage dataset.

Detection of disease type in tomato leaves using Alexnet

SOTA 99.47% accuracy on PlantVillage dataset using PyTorch. A deep dive into fine-tuning ResNet50 for plant disease classification.

Al-based plant disease detection system using deep learning, providing real-time identification and remedy suggestions for crop health management.

Deep learning project using Convolutional Neural Network with Classification.